[GRASS-SVN] r70638 - in grass-promo/grassposter/2017_NCGIS_How_innovations_thrive: . images logos
svn_grass at osgeo.org
svn_grass at osgeo.org
Sun Feb 19 21:27:54 PST 2017
Author: wenzeslaus
Date: 2017-02-19 21:27:54 -0800 (Sun, 19 Feb 2017)
New Revision: 70638
Added:
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/network.png
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/superpixels_slic_colored.png
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/superpixels_slic_pseudo.png
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/temporal_precip_temp.png
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/topo_errors.png
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/topo_fixed.png
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/topo_original.png
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/logos/google.pdf
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/logos/mundialis.pdf
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/topo_example.txt
Removed:
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/Seasonal_temperature_trend_Europe_1950_2010.pdf
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/TonleSapTa.png
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/TonleSapTaGap.png
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/fire.jpg
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/fire_valencia_040914.png
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/geomorphon.png
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/geomorphon_tangible_high_tatras.jpg
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/interpolation_precip_vvolrst.png
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/images/summer_mean_temp_slope.pdf
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/logos/mundialis_logo.pdf
Modified:
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/logos/grass.pdf
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/poster.bib
grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/poster.tex
Log:
add lidar, segmentation, topo, v.net, redo temporal, remove landforms, fire, interp, evapo
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--- grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/poster.bib 2017-02-20 04:34:18 UTC (rev 70637)
+++ grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/poster.bib 2017-02-20 05:27:54 UTC (rev 70638)
@@ -1,127 +1,132 @@
+ at comment{x-kbibtex-personnameformatting=<%l><, %f>}
+
@article{baker1992r,
- title={The r. le programs for multiscale analysis of landscape structure using the {GRASS} geographical information system},
- author={Baker, W. L. and Cai, Y.},
- journal={Landscape Ecology},
- volume={7},
- number={4},
- pages={291--302},
- year={1992},
- publisher={Springer}
+ author = "Baker, W. L. and Cai, Y.",
+ journal = "Landscape Ecology",
+ number = "4",
+ pages = "291--302",
+ publisher = "Springer",
+ title = "{The r. le programs for multiscale analysis of landscape structure using the {GRASS} geographical information system}",
+ volume = "7",
+ year = "1992"
}
@article{rocchini2013calculating,
- title={Calculating landscape diversity with information-theory based indices: A {GRASS GIS} solution},
- author={Rocchini, D. and Delucchi, L. and Bacaro, G. and Cavallini, P. and Feilhauer, H. and Foody, G. M. and He, K. S. and Nagendra, H. and Porta, C. and Ricotta, C. and others},
- journal={Ecological informatics},
- volume={17},
- pages={82--93},
- year={2013},
- publisher={Elsevier}
+ author = "Rocchini, D. and Delucchi, L. and Bacaro, G. and Cavallini, P. and Feilhauer, H. and Foody, G. M. and He, K. S. and Nagendra, H. and Porta, C. and Ricotta, C. and others",
+ journal = "Ecological informatics",
+ pages = "82--93",
+ publisher = "Elsevier",
+ title = "{Calculating landscape diversity with information-theory based indices: A {GRASS GIS} solution}",
+ volume = "17",
+ year = "2013"
}
@article{cannata2012two,
- title={Two-dimensional dam break flooding simulation: a {GIS}-embedded approach},
- author={Cannata, M. and Marzocchi, R.},
- journal={Natural hazards},
- volume={61},
- number={3},
- pages={1143--1159},
- year={2012},
- publisher={Springer}
+ author = "Cannata, M. and Marzocchi, R.",
+ journal = "Natural hazards",
+ number = "3",
+ pages = "1143--1159",
+ publisher = "Springer",
+ title = "{Two-dimensional dam break flooding simulation: a {GIS}-embedded approach}",
+ volume = "61",
+ year = "2012"
}
+
@book{chemin2012distributed,
- title={A Distributed Benchmarking Framework for Actual {ET} Models},
- author={Chemin, Y.},
- year={2012},
- publisher={INTECH Open Access Publisher}
+ author = "Chemin, Y.",
+ publisher = "INTECH Open Access Publisher",
+ title = "{A Distributed Benchmarking Framework for Actual {ET} Models}",
+ year = "2012"
}
+
@book{chemin2014remote,
- title={Remote Sensing Raster Programming},
- author={Chemin, Y.},
- year={2014},
- publisher={Lulu}
+ author = "Chemin, Y.",
+ publisher = "Lulu",
+ title = "{Remote Sensing Raster Programming}",
+ year = "2014"
}
+
@article{rodriguez2013data,
- author = {Rodriguez-Aseretto, D. and de Rigo, D. and Di Leo, M. and Cort\'{e}s, A. and San-Miguel-Ayanz, J.},
- citeulike-article-id = {13387794},
- citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.procs.2013.05.355},
- doi = {10.1016/j.procs.2013.05.355},
- issn = {18770509},
- journal = {Procedia Computer Science},
- month = jan,
- pages = {1861--1870},
- posted-at = {2014-10-10 13:47:37},
- priority = {0},
- title = {A Data-driven Model for Large Wildfire Behaviour Prediction in {Europe}},
- url = {http://dx.doi.org/10.1016/j.procs.2013.05.355},
- volume = {18},
- year = {2013}
+ author = "Rodriguez-Aseretto, D. and de Rigo, D. and {Di Leo}, M. and Cort{\'e}s, A. and San-Miguel-Ayanz, J.",
+ citeulike-article-id = "13387794",
+ citeulike-linkout-0 = "http://dx.doi.org/10.1016/j.procs.2013.05.355",
+ doi = "10.1016/j.procs.2013.05.355",
+ issn = "18770509",
+ journal = "Procedia Computer Science",
+ month = jan,
+ pages = "1861--1870",
+ posted-at = "2014-10-10 13:47:37",
+ priority = "0",
+ title = "{A Data-driven Model for Large Wildfire Behaviour Prediction in {Europe}}",
+ url = "http://dx.doi.org/10.1016/j.procs.2013.05.355",
+ volume = "18",
+ year = "2013"
}
+
@incollection{derigo2013architecture,
- author = {de Rigo, D. and Rodriguez-Aseretto, D. and Bosco, C. and Di Leo, M. and San-Miguel-Ayanz, J.},
- booktitle = {Environmental Software Systems. Fostering Information Sharing},
- citeulike-article-id = {13387795},
- citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-642-41151-9\_35},
- citeulike-linkout-1 = {http://link.springer.com/chapter/10.1007/978-3-642-41151-9\_35},
- doi = {10.1007/978-3-642-41151-9\_35},
- editor = {H\v{r}eb\'{\i}\v{c}ek, Ji\v{r}\'{\i} and Schimak, Gerald and Kub\'{a}sek, Miroslav and Rizzoli, Andrea},
- pages = {367--380},
- posted-at = {2014-10-10 13:51:37},
- priority = {0},
- publisher = {Springer Berlin Heidelberg},
- series = {IFIP Advances in Information and Communication Technology},
- title = {An Architecture for Adaptive Robust Modelling of Wildfire Behaviour under Deep Uncertainty},
- url = {http://dx.doi.org/10.1007/978-3-642-41151-9\_35},
- volume = {413},
- year = {2013}
+ author = "de Rigo, D. and Rodriguez-Aseretto, D. and Bosco, C. and {Di Leo}, M. and San-Miguel-Ayanz, J.",
+ booktitle = "{Environmental Software Systems. Fostering Information Sharing}",
+ citeulike-article-id = "13387795",
+ citeulike-linkout-0 = "http://dx.doi.org/10.1007/978-3-642-41151-9\_35",
+ citeulike-linkout-1 = "http://link.springer.com/chapter/10.1007/978-3-642-41151-9\_35",
+ doi = "10.1007/978-3-642-41151-9_35",
+ editor = "H\v{r}eb{\'i}\v{c}ek, Ji\v{r}{\'i} and Schimak, Gerald and Kub{\'a}sek, Miroslav and Rizzoli, Andrea",
+ pages = "367--380",
+ posted-at = "2014-10-10 13:51:37",
+ priority = "0",
+ publisher = "Springer Berlin Heidelberg",
+ series = "{IFIP Advances in Information and Communication Technology}",
+ title = "{An Architecture for Adaptive Robust Modelling of Wildfire Behaviour under Deep Uncertainty}",
+ url = "http://dx.doi.org/10.1007/978-3-642-41151-9\_35",
+ volume = "413",
+ year = "2013"
}
-
@incollection{ashtekar2014digital,
- title={{Digital mapping of soil properties and associated uncertainties in the Llanos Orientales, South America}},
- author={Ashtekar, J. M. and Owens, P. R. and Brown, R. A. and Winzeler, H. E. and Dorantes, M. and Libohova, Z. and Dasilva, M. and Castro, A.},
- booktitle={GlobalSoilMap: Basis of the global spatial soil information system},
- pages={367},
- year={2014},
- publisher={CRC Press}
+ author = "Ashtekar, J. M. and Owens, P. R. and Brown, R. A. and Winzeler, H. E. and Dorantes, M. and Libohova, Z. and Dasilva, M. and Castro, A.",
+ booktitle = "{GlobalSoilMap: Basis of the global spatial soil information system}",
+ pages = "367",
+ publisher = "CRC Press",
+ title = "{Digital mapping of soil properties and associated uncertainties in the Llanos Orientales, South America}",
+ year = "2014"
}
@article{jasiewicz2013geomorphons,
- title={Geomorphons -- a pattern recognition approach to classification and mapping of landforms},
- author={Jasiewicz, J. and Stepinski, T. F.},
- journal={Geomorphology},
- volume={182},
- pages={147--156},
- year={2013},
- publisher={Elsevier}
+ author = "Jasiewicz, J. and Stepinski, T. F.",
+ journal = "Geomorphology",
+ pages = "147--156",
+ publisher = "Elsevier",
+ title = "{Geomorphons -- a pattern recognition approach to classification and mapping of landforms}",
+ volume = "182",
+ year = "2013"
}
@article{garcia2007comparison,
- title={Comparison of three operative models for estimating the surface water deficit using {ASTER} reflective and thermal data},
- author={Garc{\'\i}a, M. and Villagarc{\'\i}a, L. and Contreras, S. and Domingo, F. and Puigdef{\'a}bregas, J.},
- journal={Sensors},
- volume={7},
- number={6},
- pages={860--883},
- year={2007},
- publisher={Molecular Diversity Preservation International}
+ author = "Garc{\'i}a, M. and Villagarc{\'i}a, L. and Contreras, S. and Domingo, F. and Puigdef{\'a}bregas, J.",
+ journal = "Sensors",
+ number = "6",
+ pages = "860--883",
+ publisher = "Molecular Diversity Preservation International",
+ title = "{Comparison of three operative models for estimating the surface water deficit using {ASTER} reflective and thermal data}",
+ volume = "7",
+ year = "2007"
}
@article{gao2008intercomparison,
- title={Intercomparison of remote sensing-based models for estimation of evapotranspiration and accuracy assessment based on {SWAT}},
- author={Gao, Y. and Long, D.},
- journal={Hydrological processes},
- volume={22},
- number={25},
- pages={4850--4869},
- year={2008},
- publisher={Wiley Online Library}
+ author = "Gao, Y. and Long, D.",
+ journal = "Hydrological processes",
+ number = "25",
+ pages = "4850--4869",
+ publisher = "Wiley Online Library",
+ title = "{Intercomparison of remote sensing-based models for estimation of evapotranspiration and accuracy assessment based on {SWAT}}",
+ volume = "22",
+ year = "2008"
}
@article{Gebbert20141,
abstract = "Abstract Time in geographic information systems has been a research theme for more than two decades, resulting in comprehensive theoretical work, many research prototypes and several working solutions. However, none of the available solutions provides the ability to manage, analyze, process and visualize large environmental spatio-temporal datasets and the investigation and assessment of temporal relationships between them. We present in this paper a freely available field based temporal GIS (TGRASS) that fulfills these requirements. Our approach is based on the integration of time in the open source Geographic Resources Analysis Support System (GRASS). We introduce the concept of a space time dataset that is defined as a collection of time stamped raster, voxel or vector data. A dedicated set of spatio-temporal tools was implemented to manage, process and analyze space time datasets and their temporal and spatial relationships. We demonstrate the temporal GIS and envir
onmental modeling capabilities of TGRASS by analyzing a multi-decadal European climate dataset.",
author = "Gebbert, S. and Pebesma, E.",
- DOI = "10.1016/j.envsoft.2013.11.001",
+ doi = "10.1016/j.envsoft.2013.11.001",
issn = "1364-8152",
journal = "Environmental Modelling \& Software",
keywords = "Temporal {GIS}; Spatio-temporal modeling; {GRASS GIS}; {TGRASS}",
@@ -134,212 +139,310 @@
}
@article{Haylock2008_climate_series,
- abstract = {{We present a European land-only daily high-resolution gridded data set for precipitation and minimum, maximum, and mean surface
- temperature for the period 1950–2006. This data set improves on previous products in its spatial resolution and extent, time
- period, number of contributing stations, and attention to finding the most appropriate method for spatial interpolation of
- daily climate observations. The gridded data are delivered on four spatial resolutions to match the grids used in previous
- products as well as many of the rotated pole Regional Climate Models (RCMs) currently in use. Each data set has been designed
- to provide the best estimate of grid box averages rather than point values to enable direct comparison with RCMs. We employ
- a three-step process of interpolation, by first interpolating the monthly precipitation totals and monthly mean temperature
- using three-dimensional thin-plate splines, then interpolating the daily anomalies using indicator and universal kriging for
- precipitation and kriging with an external drift for temperature, then combining the monthly and daily estimates. Interpolation
- uncertainty is quantified by the provision of daily standard errors for every grid square. The daily uncertainty averaged
- across the entire region is shown to be largely dependent on the season and number of contributing observations. We examine
- the effect that interpolation has on the magnitude of the extremes in the observations by calculating areal reduction factors
- for daily maximum temperature and precipitation events with return periods up to 10 years.
- }},
- author = {Haylock, M. R. and Hofstra, N. and Tank, A. M. G. K. and Klok, E. J. and Jones, P. D. and New, M.},
- day = {30},
- doi = {10.1029/2008JD010201},
- issn = {0148-0227},
- journal = {Journal of Geophysical Research},
- keywords = {climate, data, kriging, meteorology, precipitation, splines, temperature},
- month = oct,
- number = {D20},
- posted-at = {2009-08-12 00:09:46},
- priority = {2},
- title = {{A European daily high-resolution gridded data set of surface temperature and precipitation for {1950 - 2006}}},
- volume = {113},
- year = {2008}
+ abstract = "{We present a European land-only daily high-resolution gridded data set for precipitation and minimum, maximum, and mean surface temperature for the period 1950--2006. This data set improves on previous products in its spatial resolution and extent, time period, number of contributing stations, and attention to finding the most appropriate method for spatial interpolation of daily climate observations. The gridded data are delivered on four spatial resolutions to match the grids used in previous products as well as many of the rotated pole Regional Climate Models (RCMs) currently in use. Each data set has been designed to provide the best estimate of grid box averages rather than point values to enable direct comparison with RCMs. We employ a three-step process of interpolation, by first interpolating the monthly precipitation totals and monthly mean temperature using three-dimensional thin-plate splines, then interpolating the daily anomalies using indicator and univer
sal kriging for precipitation and kriging with an external drift for temperature, then combining the monthly and daily estimates. Interpolation uncertainty is quantified by the provision of daily standard errors for every grid square. The daily uncertainty averaged across the entire region is shown to be largely dependent on the season and number of contributing observations. We examine the effect that interpolation has on the magnitude of the extremes in the observations by calculating areal reduction factors for daily maximum temperature and precipitation events with return periods up to 10 years. }",
+ author = "Haylock, M. R. and Hofstra, N. and Tank, A. M. G. K. and Klok, E. J. and Jones, P. D. and New, M.",
+ day = "30",
+ doi = "10.1029/2008JD010201",
+ issn = "0148-0227",
+ journal = "Journal of Geophysical Research",
+ keywords = "climate; data; kriging; meteorology; precipitation; splines; temperature",
+ month = oct,
+ number = "D20",
+ posted-at = "2009-08-12 00:09:46",
+ priority = "2",
+ title = "{A European daily high-resolution gridded data set of surface temperature and precipitation for {1950 - 2006}}",
+ volume = "113",
+ year = "2008"
}
@techreport{mcgarigal1995fragstats,
- title = {{FRAGSTATS: spatial pattern analysis program for quantifying landscape structure}},
- author = {McGarigal, K. and Marks, B. J.},
- group = {Forest Services},
- year = {1995},
- number = {PNW-351},
- institution = {USDA}
+ author = "McGarigal, K. and Marks, B. J.",
+ group = "Forest Services",
+ institution = "USDA",
+ number = "PNW-351",
+ title = "{FRAGSTATS: spatial pattern analysis program for quantifying landscape structure}",
+ year = "1995"
}
+
@inproceedings{raghavan2014deploying,
- author = {Raghavan, V. and Choosumrong, S. and Yoshida, D. and Vinayaraj, P.},
- title = {Deploying Dynamic Routing Service for Emergency Scenarios using {pgRouting, GRASS and ZOO}},
- booktitle= {In Proceedings of FOSS4G Europe, Jacobs University, Bremen, Germany},
- year = {2014},
- month = {July}
+ author = "Raghavan, V. and Choosumrong, S. and Yoshida, D. and Vinayaraj, P.",
+ booktitle = "{In Proceedings of FOSS4G Europe, Jacobs University, Bremen, Germany}",
+ month = "July",
+ title = "{Deploying Dynamic Routing Service for Emergency Scenarios using {pgRouting, GRASS and ZOO}}",
+ year = "2014"
}
@article{rocchini2012let,
- title={Let the four freedoms paradigm apply to ecology},
- author={Rocchini, D. and Neteler, M.},
- journal={Trends in Ecology \& Evolution},
- volume={27},
- number={6},
- pages={310--311},
- year={2012},
- publisher={Elsevier Current Trends}
+ author = "Rocchini, D. and Neteler, M.",
+ journal = "Trends in Ecology \& Evolution",
+ number = "6",
+ pages = "310--311",
+ publisher = "Elsevier Current Trends",
+ title = "{Let the four freedoms paradigm apply to ecology}",
+ volume = "27",
+ year = "2012"
}
@techreport{Rothermel1983how,
- title = {{How to predict the spread and intensity of forest and range fires}},
- author = {Rothermel, R. C.},
- institution = {US Forest Services},
- year = {1983},
- number = {INT-143}
+ author = "Rothermel, R. C.",
+ institution = "US Forest Services",
+ number = "INT-143",
+ title = "{How to predict the spread and intensity of forest and range fires}",
+ year = "1983"
}
+
@article{suleiman2008intercomparison,
- title={Intercomparison of evapotranspiration estimates at the different ecological zones in {Jordan}},
- author={Suleiman, A. and Al-Bakri, J. and Duqqah, M. and Crago, R.},
- journal={Journal of Hydrometeorology},
- volume={9},
- number={5},
- pages={903--919},
- year={2008}
+ author = "Suleiman, A. and Al-Bakri, J. and Duqqah, M. and Crago, R.",
+ journal = "Journal of Hydrometeorology",
+ number = "5",
+ pages = "903--919",
+ title = "{Intercomparison of evapotranspiration estimates at the different ecological zones in {Jordan}}",
+ volume = "9",
+ year = "2008"
}
+
@article{timmermans2007intercomparison,
- title={An intercomparison of the surface energy balance algorithm for land {(SEBAL)} and the two-source energy balance {(TSEB)} modeling schemes},
- author={Timmermans, W. J. and Kustas, W. P. and Anderson, M. C. and French, A. N.},
- journal={Remote Sensing of Environment},
- volume={108},
- number={4},
- pages={369--384},
- year={2007},
- publisher={Elsevier}
+ author = "Timmermans, W. J. and Kustas, W. P. and Anderson, M. C. and French, A. N.",
+ journal = "Remote Sensing of Environment",
+ number = "4",
+ pages = "369--384",
+ publisher = "Elsevier",
+ title = "{An intercomparison of the surface energy balance algorithm for land {(SEBAL)} and the two-source energy balance {(TSEB)} modeling schemes}",
+ volume = "108",
+ year = "2007"
}
+
@phdthesis{xu1994simulating,
- title={Simulating the spread of wildfires using a geographic information system and remote sensing},
- author={Xu, J.},
- school={Rutgers University, New Brunswick, New Jersey},
- year={1994}
+ author = "Xu, J.",
+ school = "Rutgers University, New Brunswick, New Jersey",
+ title = "{Simulating the spread of wildfires using a geographic information system and remote sensing}",
+ year = "1994"
}
@article{2013_DiLeo_etAl,
- author = {Di Leo, M. and de Rigo, D. and Rodriguez-Aseretto, D. and Bosco, C. and Petroliagkis, T. and Camia, A. and San-Miguel-Ayanz, J.},
- booktitle = {Environmental Software Systems. Fostering Information Sharing},
- citeulike-article-id = {12612201},
- citeulike-linkout-0 = {http://scholar.google.it/scholar?cluster=1214896257622472922},
- citeulike-linkout-1 = {http://mastrave.org/bib/Di\_Leo\_etal\_ISESS2013.pdf},
- citeulike-linkout-2 = {http://dx.doi.org/10.1007/978-3-642-41151-9\_2},
- citeulike-linkout-3 = {http://dx.doi.org/10.1007/978-3-642-41151-9\_2},
- citeulike-linkout-4 = {http://link.springer.com/chapter/10.1007/978-3-642-41151-9\_2},
- doi = {10.1007/978-3-642-41151-9\_2},
- editor = {H\v{r}eb\'{\i}\v{c}ek, Ji\v{r}\'{\i} and Schimak, Gerald and Kub\'{a}sek, Miroslav and Rizzoli, Andrea E.},
- issn = {1868-4238},
- journal = {IFIP Advances in Information and Communication Technology ISSN:1868-4238. Special issue: "Environmental Software Systems. Fostering sharing information"},
- pages = {11--22},
- posted-at = {2014-10-10 13:24:52},
- priority = {0},
- publisher = {Springer Berlin Heidelberg},
- series = {IFIP Advances in Information and Communication Technology},
- title = {Dynamic Data Driven Ensemble for Wildfire Behaviour Assessment: A Case Study},
- url = {http://scholar.google.it/scholar?cluster=1214896257622472922},
- volume = {413},
- year = {2013}
+ author = "{Di Leo}, M. and de Rigo, D. and Rodriguez-Aseretto, D. and Bosco, C. and Petroliagkis, T. and Camia, A. and San-Miguel-Ayanz, J.",
+ booktitle = "{Environmental Software Systems. Fostering Information Sharing}",
+ citeulike-article-id = "12612201",
+ citeulike-linkout-0 = "http://scholar.google.it/scholar?cluster=1214896257622472922",
+ citeulike-linkout-1 = "http://mastrave.org/bib/Di\_Leo\_etal\_ISESS2013.pdf",
+ citeulike-linkout-2 = "http://dx.doi.org/10.1007/978-3-642-41151-9\_2",
+ citeulike-linkout-3 = "http://dx.doi.org/10.1007/978-3-642-41151-9\_2",
+ citeulike-linkout-4 = "http://link.springer.com/chapter/10.1007/978-3-642-41151-9\_2",
+ doi = "10.1007/978-3-642-41151-9_2",
+ editor = "H\v{r}eb{\'i}\v{c}ek, Ji\v{r}{\'i} and Schimak, Gerald and Kub{\'a}sek, Miroslav and Rizzoli, Andrea E.",
+ issn = "1868-4238",
+ journal = {IFIP Advances in Information and Communication Technology ISSN:1868-4238. Special issue: "Environmental Software Systems. Fostering sharing information"},
+ pages = "11--22",
+ posted-at = "2014-10-10 13:24:52",
+ priority = "0",
+ publisher = "Springer Berlin Heidelberg",
+ series = "{IFIP Advances in Information and Communication Technology}",
+ title = "{Dynamic Data Driven Ensemble for Wildfire Behaviour Assessment: A Case Study}",
+ url = "http://scholar.google.it/scholar?cluster=1214896257622472922",
+ volume = "413",
+ year = "2013"
}
@inproceedings{Petrasova2014,
-author = {Petrasova, A. and Harmon, B. and Petras, V. and Mitasova, H.},
-title = {{GIS-based environmental modeling with tangible interaction and dynamic visualization}},
-booktitle = {7th International Congress on Environmental Modelling and Software},
-address = {San Diego, California, USA},
-editor = {{Ames, D.P., Quinn, N.W.T., Rizzoli}, A.E. (Eds.)},
-url = {http://www.iemss.org/society/index.php/iemss-2014-proceedings},
-year = {2014},
-month = {jun},
-isbn = {978-88-9035-744-2}
+ address = "San Diego, California, USA",
+ author = "Petrasova, A. and Harmon, B. and Petras, V. and Mitasova, H.",
+ booktitle = "{7th International Congress on Environmental Modelling and Software}",
+ editor = "{Ames, D.P., Quinn, N.W.T., Rizzoli}, A.E. (Eds.)",
+ isbn = "978-88-9035-744-2",
+ month = "jun",
+ title = "{GIS-based environmental modeling with tangible interaction and dynamic visualization}",
+ url = "http://www.iemss.org/society/index.php/iemss-2014-proceedings",
+ year = "2014"
}
@article{Mitas1988a,
-title = {General variational approach to the interpolation problem},
-journal = {Computers \& Mathematics with Applications},
-volume = {16},
-number = {12},
-pages = {983--992},
-year = {1988},
-issn = {0898-1221},
-doi = {10.1016/0898-1221(88)90255-6},
-author = {Mitas, L. and Mitasova, H.},
+ author = "Mitas, L. and Mitasova, H.",
+ doi = "10.1016/0898-1221(88)90255-6",
+ issn = "0898-1221",
+ journal = "Computers \& Mathematics with Applications",
+ number = "12",
+ pages = "983--992",
+ title = "{General variational approach to the interpolation problem}",
+ volume = "16",
+ year = "1988"
}
@article{Mitas1998b,
-author = {Mitas, L. and Mitasova, H.},
-title = {Distributed soil erosion simulation for effective erosion prevention},
-journal = {Water Resources Research},
-volume = {34},
-number = {3},
-issn = {1944-7973},
-doi = {10.1029/97WR03347},
-pages = {505--516},
-year = {1998},
+ author = "Mitas, L. and Mitasova, H.",
+ doi = "10.1029/97WR03347",
+ issn = "1944-7973",
+ journal = "Water Resources Research",
+ number = "3",
+ pages = "505--516",
+ title = "{Distributed soil erosion simulation for effective erosion prevention}",
+ volume = "34",
+ year = "1998"
}
@article{Mitas1993,
-author={Mitas, L. and Mitasova, H.},
-title={Interpolation by regularized spline with tension: I. Theory and implementation},
-year={1993},
-journal={Mathematical Geology},
-volume={25},
-number={6},
-doi={10.1007/BF00893171},
-issn={0882-8121},
-pages={641--655}
+ author = "Mitas, L. and Mitasova, H.",
+ doi = "10.1007/BF00893171",
+ issn = "0882-8121",
+ journal = "Mathematical Geology",
+ number = "6",
+ pages = "641--655",
+ title = "{Interpolation by regularized spline with tension: I. Theory and implementation}",
+ volume = "25",
+ year = "1993"
}
@misc{Petras2014,
-author = {Petras, V. and Gebbert, S.},
-title = {{Testing framework for GRASS GIS: ensuring reproducibility of scientific geospatial computing}},
-year = {2014},
-note = {Poster presented at 2014 Fall Meeting, AGU, San Francisco, Calif., 14-18 Dec}
+ author = "Petras, V. and Gebbert, S.",
+ note = "Poster presented at 2014 Fall Meeting, AGU, San Francisco, Calif., 14-18 Dec",
+ title = "{Testing framework for GRASS GIS: ensuring reproducibility of scientific geospatial computing}",
+ year = "2014"
}
@article{mea582,
-author = {Petras, V. and Petrasova, A. and Harmon, B. and Meentemeyer, R. and Mitasova, H.},
-title = {Integrating open source solutions into geospatial science education},
-year = {2015},
-note = {Manuscript submitted for publication}
+ author = "Petras, V. and Petrasova, A. and Harmon, B. and Meentemeyer, R. and Mitasova, H.",
+ note = "Manuscript submitted for publication",
+ title = "{Integrating open source solutions into geospatial science education}",
+ year = "2015"
}
@article{neteler2012grass,
- title={{GRASS GIS: a multi-purpose Open Source GIS}},
- author={Neteler, M. and Bowman, M.H. and Landa, M. and Metz, M.},
- journal={Environmental Modelling \& Software},
- year={2012},
- volume = {31},
- pages = {124–130},
- publisher={Elsevier},
- doi = "10.1016/j.envsoft.2011.11.014"
+ author = "Neteler, M. and Bowman, M.H. and Landa, M. and Metz, M.",
+ doi = "10.1016/j.envsoft.2011.11.014",
+ journal = "Environmental Modelling \& Software",
+ pages = "124--130",
+ publisher = "Elsevier",
+ title = "{GRASS GIS: a multi-purpose Open Source GIS}",
+ volume = "31",
+ year = "2012"
}
@misc{ncsugis582,
- author = {{NCSU}},
- title = {{GIS/MEA582}: Geospatial Modeling and Analysis},
- year = 2015,
- note = {\url{http://courses.ncsu.edu/gis582/common/grass/interpolation\_2.html}},
- urldate = {2015-03-30}
+ author = "{NCSU}",
+ note = "\url{http://courses.ncsu.edu/gis582/common/grass/interpolation\_2.html}",
+ title = "{{GIS/MEA582}: Geospatial Modeling and Analysis}",
+ urldate = "2015-03-30",
+ year = 2015
}
@misc{tracvsurfrst,
- author = {{GRASS GIS Development Team}},
- title = {{GRASS GIS Trac: Revision log for v.surf.rst}},
- year = 2015,
- note = {\url{http://trac.osgeo.org/grass/log/grass/trunk/vector/v.surf.rst?rev=63988\&limit=999}},
- urldate = {2015-03-31}
+ author = "{GRASS GIS Development Team}",
+ note = "\url{http://trac.osgeo.org/grass/log/grass/trunk/vector/v.surf.rst?rev=63988\&limit=999}",
+ title = "{GRASS GIS Trac: Revision log for v.surf.rst}",
+ urldate = "2015-03-31",
+ year = 2015
}
@misc{tracrli,
- author = {{GRASS GIS Development Team}},
- title = {{GRASS GIS Trac: Revision log for r.li}},
- year = 2015,
- note = {\url{http://trac.osgeo.org/grass/log/grass/trunk/raster/r.li?rev=63988\&limit=999}},
- urldate = {2015-03-31}
+ author = "{GRASS GIS Development Team}",
+ note = "\url{http://trac.osgeo.org/grass/log/grass/trunk/raster/r.li?rev=63988\&limit=999}",
+ title = "{GRASS GIS Trac: Revision log for r.li}",
+ urldate = "2015-03-31",
+ year = 2015
}
+
+ at article{achanta2012slic,
+ author = "Achanta, Radhakrishna and Shaji, Appu and Smith, Kevin and Lucchi, Aurelien and Fua, Pascal and S{\"u}sstrunk, Sabine",
+ journal = "IEEE transactions on pattern analysis and machine intelligence",
+ number = "11",
+ pages = "2274--2282",
+ publisher = "IEEE",
+ title = "{SLIC superpixels compared to state-of-the-art superpixel methods}",
+ volume = "34",
+ year = "2012"
+}
+
+ at misc{achanta2010epfl,
+ author = "Achanta, Radhakrishna",
+ publisher = "June",
+ title = "{{SLIC} Superpixels, {EPFL} Technical Report No. 149300}",
+ year = "2010"
+}
+
+ at phdthesis{vitti2008free,
+ author = "Vitti, A",
+ school = "PhD thesis in Environmental Engineering, Universit{\`a} di Trento, Italy",
+ title = "{Free discontinuity problems in image and signal segmentation}",
+ year = "2008"
+}
+
+ at article{mumford1989optimal,
+ author = "Mumford, David and Shah, Jayant",
+ journal = "Communications on pure and applied mathematics",
+ number = "5",
+ pages = "577--685",
+ publisher = "Wiley Online Library",
+ title = "{Optimal approximations by piecewise smooth functions and associated variational problems}",
+ volume = "42",
+ year = "1989"
+}
+
+ at article{march1997variational,
+ author = "March, Riccardo and Dozio, Marziano",
+ journal = "Image and Vision Computing",
+ number = "9",
+ pages = "705--712",
+ publisher = "Elsevier",
+ title = "{A variational method for the recovery of smooth boundaries}",
+ volume = "15",
+ year = "1997"
+}
+
+ at article{vitti2012mumford,
+ author = "Vitti, Alfonso",
+ journal = "ISPRS journal of photogrammetry and remote sensing",
+ pages = "50--64",
+ publisher = "Elsevier",
+ title = "{The Mumford--Shah variational model for image segmentation: An overview of the theory, implementation and use}",
+ volume = "69",
+ year = "2012"
+}
+
+ at misc{zhuang1992image,
+ author = "Zhuang, Hong C.",
+ issn = "0899-7853",
+ journal = "GRASSClIPPINGS",
+ number = "2",
+ pages = "10-11",
+ title = "{Image processing in GRASS}",
+ volume = "6",
+ year = "1992"
+}
+
+ at article{roerink2000reconstructing,
+ author = "Roerink, GJ and Menenti, M and Verhoef, W",
+ journal = "International Journal of Remote Sensing",
+ number = "9",
+ pages = "1911--1917",
+ publisher = "Taylor \& Francis",
+ title = "{Reconstructing cloudfree NDVI composites using Fourier analysis of time series}",
+ volume = "21",
+ year = "2000"
+}
+
+ at inproceedings{chemin2015grass,
+ author = "Chemin, Yann and Petras, Vaclav and Petrasova, Anna and Landa, Martin and Gebbert, S{\"o}ren and Zambelli, Pietro and Neteler, Markus and L{\"o}we, Peter and {Di Leo}, Margherita",
+ booktitle = "{Geophysical Research Abstracts}",
+ pages = "8314",
+ title = "{{GRASS GIS}: a peer-reviewed scientific platform and future research repository}",
+ volume = "17",
+ year = "2015"
+}
+
+ at inproceedings{leppelt2015grass,
+ author = "Leppelt, Thomas and Gebbert, S{\"o}ren",
+ booktitle = "{EGU General Assembly Conference Abstracts}",
+ pages = "11672",
+ title = "{A GRASS GIS based Spatio-Temporal Algebra for Raster-, 3D Raster-and Vector Time Series Data}",
+ volume = "17",
+ year = "2015"
+}
+
+ at inproceedings{gebbert2015grass,
+ author = "Gebbert, S{\"o}ren and Leppelt, Thomas",
+ booktitle = "{EGU General Assembly Conference Abstracts}",
+ pages = "7296",
+ title = "{GRASS GIS: The first Open Source Temporal GIS}",
+ volume = "17",
+ year = "2015"
+}
+
Modified: grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/poster.tex
===================================================================
--- grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/poster.tex 2017-02-20 04:34:18 UTC (rev 70637)
+++ grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/poster.tex 2017-02-20 05:27:54 UTC (rev 70638)
@@ -1,11 +1,8 @@
% License: CC BY-SA
% Authors: See authors below and see also acknowledgement for authors of some images or research
-% EGU: http://meetingorganizer.copernicus.org/EGU2015/posters/17174
-% http://meetingorganizer.copernicus.org/EGU2015/EGU2015-8314-7.pdf
-
\documentclass[25pt, margin=0mm, innermargin=15mm, blockverticalspace=15mm, colspace=15mm, subcolspace=8mm]{tikzposter}
-\geometry{paperwidth=197cm,paperheight=100cm}
+\geometry{paperwidth=96in,paperheight=48in}
% to stretch boxes over whole paper with custor paper size
\makeatletter
@@ -46,30 +43,28 @@
\titlegraphic{
\begin{minipage}{0.3\linewidth}
\includegraphics[height=\grasslogoheight]{grass}
-~
+\hspace{2em}
\includegraphics[height=\grasslogoheight]{osgeo_project}
\end{minipage}
\hfill
-\begin{minipage}{0.2\linewidth}
+\begin{minipage}{0.15\linewidth}
\setlength{\baselineskip}{120pt}
\begin{flushright}
+\includegraphics[height=\instlogoheight]{ncstate}
+~
\includegraphics[height=\instlogoheight]{iwmi}
~
-\includegraphics[height=\instlogoheight]{ncstate}
-~
\includegraphics[height=\instlogoheight]{ctu_prague}
~
\includegraphics[height=\instlogoheight]{ti}
~
\includegraphics[height=\instlogoheight]{eurac}
-%~
-%\includegraphics[height=\instlogoheight]{fem_cri} % history...
~
-\includegraphics[height=\instlogoheight]{mundialis_logo}
+\includegraphics[height=\instlogoheight]{mundialis}
~
+\includegraphics[height=\instlogoheight]{fem_cri}
+~
\includegraphics[height=\instlogoheight]{ec_jrc}
-~
-\includegraphics[height=\instlogoheight]{tib}
\end{flushright}
\end{minipage}
\vspace{-\grasslogoheight}
@@ -82,30 +77,30 @@
\newcommand{\instlist}[1]{\hspace{1pt}$^{\mbox{\normalsize#1}}$\hspace{2pt}}
\author{
-Yann Chemin\inst{1},
-V\'{a}clav Petr\'{a}\v{s}\inst{2},
-Anna Petr\'{a}\v{s}ov\'{a}\inst{2},
+V\'{a}clav Petr\'{a}\v{s}\inst{1},
+Yann Chemin\inst{2},
Martin Landa\inst{3},
+Thomas Leppelt\inst{4},
S\"{o}ren Gebbert\inst{4},
Pietro Zambelli\inst{5},
Markus Neteler\inst{6},
-Peter L\"{o}we\inst{7}, and
+Luca Delucchi\inst{7}, and
Margherita Di Leo\inst{8}
}
\institute{
-\instlist{1}IWMI, Sri Lanka;
-\instlist{2}NCSU, USA;
+\instlist{1}NCSU, USA;
+\instlist{2}IWMI, Sri Lanka;
\instlist{3}FCE CTU in Prague, Czech Republic;
\instlist{4}TICSA, Germany;
\instlist{5}EURAC, Italy;
\instlist{6}mundialis GmbH \& Co. KG, Germany;
-\instlist{7}TIB Hannover, Germany;
+\instlist{7}CRI, FEM, Italy;
\instlist{8}EC-JRC, Italy
}
\hypersetup
{
- pdfauthor={Y. Chemin, V. Petras, A. Petrasova, M. Landa, S. Gebbert, P. Zambelli, M. Neteler, P. Loewe, M. Di Leo},
+ pdfauthor={V. Petras, Y. Chemin, M. Landa, S. Gebbert, P. Zambelli, M. Neteler, M. Di Leo},
pdfsubject={},
pdftitle={How innovations thrive in GRASS GIS},
pdfkeywords={GIS, algorithms, methods, preservation, science, reproducibility}
@@ -149,126 +144,120 @@
\column{0.25}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\block{\blocktitlewrap{Introduction}}
+\block{\blocktitlewrap{Highlights}}
{
-\setlength{\parskip}{0.3ex}
+% \setlength{\parskip}{0.3ex}
-Over the last decades, GIS has become a key driver in geospatial science, research and application.
-GIS software which is licensed under a free and open source software (FOSS) licence
-is more than just a mere tool for spatial analysis.
+\renewcommand{\labelitemi}{\textcolor{gray}{$\bullet$}\hspace{0.5ex}}
-GRASS GIS (Neteler et al., 2012 \cite{neteler2012grass}), a free and open source GIS,
-is used by many scientists directly or as a backend in other projects
-such as R or QGIS to perform geoprocessing tasks.
+Poster topic highlights:
-Thanks to the user and developer community, submitted code is evaluated
-in different fields of application beyond
-the field of expertise of the original authors, and different scales of magnitude
-of data.
-This exceeds the established review process for scientific writing in a given journal
-or a data publication in a defined field of science.
+\begin{itemize}
+ \item Algorithms and models included in GRASS GIS remain available long term \citep{chemin2015grass}.
+ \item Analytical tools are not limited to one domain but spread across many fields.
+ \item New tools can be build based on functionality or code of the existing ones
+ regardless of the particular domain of problems they belong to.
+ \item Both the functionality and the code are evaluated
+ by the user and developer community in different fields of application beyond
+ the field of expertise of the original authors
+ and different scales of magnitude of data.
+% continuous automated tests (Petras, 2014 \cite{Petras2014}),
+\end{itemize}
-Immediate access to the software repository enables instant quality checking
-of the current software version both by continuous automated tests (Petras, 2014 \cite{Petras2014}),
-and code review by human experts.
+General GRASS GIS highlights:
-New scientific algorithms can be developed against the reviewed functionalities
-already provided by the GRASS GIS codebase.
-This avoids unnecessary overheads, by re-implementation,
-ensures quality by use of trusted components and allows reuse and long term preservation
-within the project software repository.
-Integrating scientific algorithms into GRASS GIS helps to preserve reproducibility
-of scientific results over time as the original author designed it
-(Rocchini \& Neteler, 2012 \cite{rocchini2012let}).
+\begin{itemize}
+% \item Community supports users and new developments through online
+% \item long-term moving forward
+ \item The GRASS GIS development team takes care of interface and operating system related changes
+ in the code provided by scientists and contributors.
+ \item Cost estimated by Black Duck Open Hub is over \$30,000,000.
+ \item The free, libre and open source license used in GRASS GIS
+ not only allows users to reduce GIS software costs to minimum,
+ but also enables organizations to deploy cloud-based solutions without any license restrictions.
+ \item GRASS GIS is used both directly and as a backend in other projects
+ such as QGIS and R.
+\end{itemize}
+
+% oholoh hours
+
}
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\block{\blocktitlewrap{Landform detection: Geomorphons}}{
-Jasiewicz and Stepinski \cite{jasiewicz2013geomorphons} developed a method and module \gamodule{r.geomorphon}
-which provide orientation-invariant and relief-invariant method to classify landforms
-in a scale-independent way.
-Ashtekar et al. \cite{ashtekar2014digital} used geomorphons to study soil properties in northwestern South America.
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\block{\blocktitlewrap{Spatio-Temporal Data Analysis}}{
+The time dimension was introduced in GRASS GIS version 7 for vector maps, rasters, and 3D rasters
+which transformed GRASS GIS into a fully-featured temporal GIS \citep{Gebbert20141, gebbert2015grass}.
+Time series of map layers are managed in space time datasets, a new data type in GRASS GIS,
+and are still accessible also as individual map layers.
+Based on the GRASS GIS Temporal Framework Python application programming interface (API),
+more than 50 modules were implemented to manage, analyze, process
+and visualize space time datasets.
+More than 100,000 map layers can be now handled efficiently in GRASS GIS.
+Example usages of this functionality include
+analysis of the
+European Climate Assessment \& Dataset ECA\&D \citep{Haylock2008_climate_series}
+and temperate climate zone in the European Union identification \citep{Gebbert20141}.
-\bigskip
-\begin{minipage}{0.5\linewidth}
-\includegraphics[width=\textwidth, trim={0 0 0 185}, clip]{geomorphon}
-Geomorphons for part of Yakima Training Center (area 5x3~km, USA)
+The new temporal modules (staring with \gmodulenolink{t.})
+work beside well established \gmodule{r.series} module
+and specialized modules such as \gamodule{r.hants} implemented according to \cite{roerink2000reconstructing}
+or \gamodule{r.seasons}.
+Latest addition includes raster and vector temporal algebra
+which can be used for tasks such as computing hydrothermal coefficient for a time series of climate data
+using the actual mathematical formula \citep{leppelt2015grass}.
+
+\vspace*{1cm}
+
+\begin{minipage}{\linewidth}
+\centering
+\includegraphics[width=.7\linewidth]{images/temporal_precip_temp}
+\\
+Creating a synchronized animation of monthly total precipitation and mean temperature for NC, USA
\end{minipage}
-~
-\begin{minipage}{0.5\linewidth}
-\includegraphics[width=\textwidth, trim={0 30 0 90}, clip]{geomorphon_tangible_high_tatras}
-Ridges and valleys detected on the sand physical model of High Tatras (Slovakia) using \gamodule{r.geomorphon} integrated in Tangible Landscape system
-\end{minipage}
+
+% \vspace*{1cm}
+
}
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\block{\blocktitlewrap{Natural Hazards: Wildfire Spread}}{
-The wildfire simulation toolset, originally developed by Xu (1994~\cite{xu1994simulating})
-implements Rothermel’s model~\cite{Rothermel1983how}. It is available through the GRASS GIS
-modules \gmodule{r.ros} and \gmodule{r.spread} and is object of active research. It has been extensively
-tested and recently adapted to European fuel types (Rodriguez-Aseretto et al.,
-2013~\cite{rodriguez2013data}; de Rigo et al., 2013~\cite{derigo2013architecture};
-Di Leo et al., 2013~\cite{2013_DiLeo_etAl}).
+\block{\blocktitlewrap{Landscape Structure}}{
+A set of modules for multiscale analysis of landscape structure was added in 1992
+by \cite{baker1992r}, who developed the \gmodulenolink{r.le} model similar to
+FRAGSTATS \citep{mcgarigal1995fragstats}.
+The modules were gradually improved to become \gmodule{r.li} in 2006.
+Further development continued, with a significant
+increase in speed \citep{tracrli} and a new interactive user interface.
+\cite{rocchini2013calculating} used \gmodule{r.li} modules to implement
+high level tool for calculating landscape diversity.
-\vspace*{-1cm}
+\bigskip
\begin{minipage}{0.5\linewidth}
-\includegraphics[width=\textwidth]{fire}
-Wildfire simulation in Tangible Landscape environment
+\includegraphics[width=\textwidth, trim={0 180 0 0}, clip]{diversity_classes}
\end{minipage}
-~
\begin{minipage}{0.5\linewidth}
-\includegraphics[width=\textwidth]{fire_valencia_040914}
-Major wildfire event near Valencia (Spain) between June 28th and July 4th 2012.
-The actual perimeters recorded by JRC-EFFIS are shown, in
-comparison with burnt area simulated in GRASS GIS.
+\includegraphics[width=\textwidth, trim={0 180 0 0}, clip]{diversity_shannon}
\end{minipage}
+
+\medskip
+Landuse classes and derived landscape diversity according to Shannon index in near Charlotte (NC, USA)
+% r.diversity input=development_2006 prefix=diversity alpha=0.5 size=65
+% r.li.shannon input="development_2006" config="conf_diversity_65.0" output="diversity_shannon_size_65.0"
}
+
+
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\column{0.25}
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\block{\blocktitlewrap{GRASS GIS as Temporal GIS}}{
-The time dimension was introduced in GRASS GIS version 7 for raster, 3D raster and
-vector map layers, transforming it into a full featured temporal GIS (Gebbert and Pebesma, 2014 \cite{Gebbert20141}).
-Time series of map layers are managed in space time datasets, a new data type in GRASS GIS.
-Based on the GRASS GIS Temporal Framework, more than 45 modules were implemented to manage, analyze, process
-and visualize space time datasets. The temporal enabled GRASS GIS is capable of efficiently
-handling more than 100,000 map layers; e.g., it was used to analyze the
-European Climate Assessment \& Dataset ECA\&D (Haylock et al. \cite{Haylock2008_climate_series})
-for climate change indicators.
-\vspace*{1cm}
-
-\begin{minipage}{0.5\linewidth}
-\includegraphics[scale=0.5]{images/summer_mean_temp_slope.pdf}
-The linear regression slope computed with t.rast.series of the temperate climate zone in the European Union
-for summer season from 1950 - 2011 (Gebbert and Pebesma, 2014 \cite{Gebbert20141}). Red color
-indicates rising temperature, blue indicates falling temperature. Units are degree Celsius per year.
-\end{minipage}
-~
-\begin{minipage}{0.5\linewidth}
-\includegraphics[scale=1.25]{images/Seasonal_temperature_trend_Europe_1950_2010.pdf}
-Seasonal mean temperature trend for the temperate climate zone of the European Union
-(Gebbert and Pebesma, 2014 \cite{Gebbert20141}). The modules \gmodule{t.rast.aggregate},
-\gmodule{t.rast.univar} and the open source statistical software system R
-were used to create this plot.
-\end{minipage}
-
-\vspace*{1cm}
-
-}
-
-
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\block{\blocktitlewrap{Natural Hazards: Water, Floods and Erosion}}{
+\block{\blocktitlewrap{Water, Floods and Erosion}}{
GRASS GIS entails several modules that constitute the result of active research on natural hazards.
The \gmodule{r.sim.water} simulation model (Mitas and Mitasova, 1998 \cite{Mitas1998b})
@@ -285,143 +274,204 @@
\vspace*{1cm}
-\begin{minipage}{0.5\linewidth}
-\includegraphics[width=\textwidth]{rsimwater_architects}
-Overland flow used for landscape architecture design in Tangible Landscape environment
+\centering
+\begin{minipage}{0.65\linewidth}
+\centering
+\includegraphics[width=0.5\textwidth]{rsimwater_architects}
+\\
+Overland flow simulated by \gmodule{r.sim.water} used for landscape
+architecture design in Tangible Landscape environment
+(Historical master plan for Lake Raleigh, NC, USA)
\end{minipage}
~
\begin{minipage}{0.5\linewidth}
-\includegraphics[width=\textwidth]{damflood_tangible}
-Coal ash pond breach in Tangible Landscape environment using \gamodule{r.damflood} module
+% TODO: damflood on Lake Raleigh
+% \includegraphics[width=\textwidth]{damflood_tangible}
+% Coal ash pond breach in Tangible Landscape environment using \gamodule{r.damflood} module
\end{minipage}
-\vspace*{1.4cm}
+% \vspace*{1.4cm}
}
-
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\column{0.25}
+\block{\blocktitlewrap{Lidar Data Processing}}{
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\block{\blocktitlewrap{Spatial interpolation}}{
+Filtering of ground and non-ground points was included into GRASS GIS
+early on in the lidar era in the \gmodule{v.lidar.edgedetection} group of modules.
+% TODO: ref
+% v.lidar.correction Corrects the v.lidar.growing output. It is the last of the three algorithms for LIDAR .
+% v.lidar.edgedetection Detects the object's edges from a LIDAR data set.
+% v.lidar.growing Building contour determination and Region Growing algorithm for determining the building inside
The module \gmodule{v.surf.rst} for spatial interpolation was developed approximately 20 years
-ago, since then it has been improved several times \cite{tracvsurfrst}. It is now an important part
-of GRASS GIS and is even taught at geospatial modeling courses, for example at North Carolina State University
-\cite{ncsugis582}.
+ago, but since then it has been improved several times \cite{tracvsurfrst}
+including recent parallelization which will be included in GRASS GIS 7.4.
+Currently the module is used for both digital terrain model interpolation and interpolations in general.
-\begin{minipage}{0.5\linewidth}
-\includegraphics[width=\textwidth]{interpolation_precip_vvolrst}
-Precipitation interpolated from meteorological stations in 3D space
-using \gmodule{v.vol.rst} in the area of North Carolina mountains (USA)
-\end{minipage}
-~
-\begin{minipage}{0.5\linewidth}
-\includegraphics[width=\textwidth]{elevation_lidar}
+The module \gmodule{r.in.lidar} statistically analyzes massive point clouds.
+% TODO: base_raster, ref
+For advanced general point analysis GRASS GIS
+\gmodule{v.outlier} implemented originally specifically for lidar data
+and recently also \gmodule{v.cluster}
+implementing variety of clustering methods including
+DBSCAN (Density-Based Spatial Clustering of Applications with Noise)
+and OPTICS (Ordering Points to Identify the Clustering Structure).
+The \gmodule{v.outlier} module serves as a base for a user contributed module \gamodule{v.lidar.mcc}
+implementing MMC.
+% TODO: ref
+
+% v.delaunay v.voronoi New option to create Voronoi diagrams for areas.
+
+\centering
+\begin{minipage}{0.7\linewidth}
+\centering
+\includegraphics[width=0.5\textwidth]{elevation_lidar}
+\\
Digital elevation model interpolated from LiDAR point clouds
using \gmodule{v.surf.rst}. Data are showing tillage in an agricultural field near Raleigh (North Carolina, USA)
\end{minipage}
+
+
}
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\column{0.25}
+
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\block{\blocktitlewrap{Evapotranspiration (ET)}}{
-With the various types of actual ET models being developed in the last 20 years,
-it becomes necessary to inter-compare methods. Most already published ETa model
-comparisons address a low number of models, and small to medium areas
-(Chemin, 2014 \cite{chemin2012distributed}; Gao and Long, 2008 \cite{gao2008intercomparison};
-Garcia et al., 2007 \cite{garcia2007comparison}; Suleiman et al., 2008
-\cite{suleiman2008intercomparison}; Timmermans et al., 2007 \cite{timmermans2007intercomparison}).
-With the large amount of remote sensing data covering the Earth, and the daily
-information available for more than twelve years (i.e. Aqua/Terra-MODIS) for each pixel
-location, it becomes paramount to have a more complete comparison,
-in space and time.
+\block{\blocktitlewrap{Image Segmentations}}{
+\gamodule{r.smooth.seg} (formerly \gmodulenolink{r.seg})
+was created by Alfonso Vitti \citep{vitti2008free, vitti2012mumford}
+and implemented a piece-wise smooth approximation of the original image
+according to \cite{mumford1989optimal} and \cite{march1997variational}
+which can be used to reduce noise in the original image.
+This supplemented \gmodule{r.clump} available from 1980s
+which groups pixes with same categories (or integer values).
+The latest version of \gmodule{r.clump} coming in GRASS GIS 7.4
+supports multiple image bands (or any rasters maps) as input.
+Clumping of cells based on threshold value and clumping
+of double precision floating point input is supported as well in the new version.
+Eric Momsen implemented initial version of region-growing image segmentation in 2012
+and Markus Metz then extended and optimized the code resulting in
+the inclusion of the \gmodule{i.segment} module into GRASS GIS 7.0
+and final replacement of old multi-resolution classification module of the same name
+which was available in 1992 \citep{zhuang1992image}.
+Another module called \gamodule{i.segment.hierarchical} by Pietro Zambelli is based on \gmodule{i.segment}
+and performs parallelized hierarchical segmentation.
+
+In 2016 GRASS GIS implementation of SLIC Superpixels segmentation \citep{achanta2010epfl, achanta2012slic}
+was requested by the community
+and Rashad Kanavath and Markus Metz implemented \gmodule{i.superpixels.slic}
+which provides users both with SLIC and SLIC0 methods.
+
\bigskip
\vspace*{1cm}
\begin{minipage}{0.5\linewidth}
\begin{center}
-\includegraphics[width=0.9\textwidth]{TonleSapTa}
+\includegraphics[width=\textwidth]{superpixels_slic_pseudo}
\end{center}
\end{minipage}
~
\begin{minipage}{0.5\linewidth}
\begin{center}
-\includegraphics[width=0.9\textwidth]{TonleSapTaGap}
+\includegraphics[width=\textwidth]{superpixels_slic_colored}
\end{center}
\end{minipage}
\vspace{2mm}
\begin{center}
-Biological fraction of 2014 ET (cumul. mm/y) \& January average gap (mm/m), Tonle Sap, Cambodia.
+Superpixels (back outlines) on pseudo-color image of central Wake county, NC, USA (left)
+and same superpixels colored according to a mean NDVI value per pixel (right).
\end{center}
-\bigskip
+\vspace*{0.6cm}
-To address this new experimental requirement, a distributed computing framework was
-designed and created (Chemin, 2012 \cite{chemin2012distributed}).
-The architecture design was built from original satellite datasets to various levels
-of processing until reaching the input dataset requirements of various ETa models.
-Each input product is computed once and reused in all ETa models requiring such input.
-This permits standardization of inputs as much as possible to reduce variations of
-models to their own internals/specificities. % can this sentence be rephrased
-All of the ET models are available in the
-new GRASS GIS version 7 as imagery modules and replicability is complete for future
-research.
+}
-\vspace*{0.6cm}
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\block{\blocktitlewrap{Topology, Cleaning, Overlays, Attributes}}{
+Besides basic vector analysis tools such as \gmodule{v.buffer}
+and \gmodule{v.overlay},
+% TODO: v.overlay: The processing speed has been substantially improved
+
+cleaning (also v.build error
+% + clustering + neighorhood + vector algebra
+
+v.feature.algebra (formerly v.mapcalc) replaced by Python for GRASS GIS C libraries (PyGRASS)
+
+Attribute processing and queries in GRASS GIS can take an advantage of latest developments
+in database management systems (DBMSs) as several DBMSs are supported most notably SQLite and PostgreSQL.
+
+Non-topological vector
+data are automatically converted to a topological representation upon import. Further more, various cleaning tools exist
+to remove non-trivial topological errors.
+
+The GRASS GIS 7 releases come with faster vector processing backend
+and more efficient internal vector format;
+both disk and memory requirements were reduced.
+The new spatial index performs queries faster (more than 10 times for large vectors compared to GRASS GIS 6).
+
+All topological cleaning tools have been optimized with regard to processing speed, robustness, and system
+requirements.
+
+Considering the wide spread usage of Esri Shapefile, a non-topological format for vector data exchange, it is particularly
+advantageous that GRASS GIS 7 offers advanced cleaning tools.
+
+postgis incl topo
+GRASS GIS 7 supports various data sources in read and write access. Beside native file-based raster and vector format
+GRASS allows to specify external data sources through GDAL/OGR library. GRASS GIS 7 also natively supports
+PostGIS database including its topological extension.
+
+In parallel to that native support the OGC Simple Features was added.
+
+\centering
+\begin{minipage}{0.9\linewidth}
+\begin{center}
+\includegraphics[width=.3\textwidth]{topo_original}
+~
+\includegraphics[width=.3\textwidth]{topo_errors}
+~
+\includegraphics[width=.3\textwidth]{topo_fixed}
+Original vector imported without cleaning (left),
+identified errors (middle),
+automatically topologically corrected vector (right)
+\end{center}
+\end{minipage}
+
+% v.in.ascii input= output=imported format=standard
+% v.build -e map=imported error=errors
+% v.clean -c input=imported output=clean error=cleaning_errors tool=snap,rmdangle,rmbridge,chbridge,bpol,prune threshold=5
+% d.vect map=cleaning_errors color=255:33:36 fill_color=none width=5 icon=basic/point size=30
+% d.vect map=imported color=56:16:108 fill_color=205:64:113 width=5
+
}
-
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\column{0.25}
-\block{\blocktitlewrap{Landscape structure}}{
-A set of modules for multiscale analysis of landscape structure was added in 1992
-by Baker et al. \cite{baker1992r}, who developed the \gmodulenolink{r.le} model similar to
-FRAGSTATS \cite{mcgarigal1995fragstats}, see manual. The modules were gradually
-improved to become \gmodule{r.li} in 2006. Further development continued, with a significant
-increase in speed \cite{tracrli} and a new interactive user interface.
-Rocchini et al. \cite{rocchini2013calculating} used \gmodule{r.li} modules to implement
-high level tool for calculating landscape diversity.
-\bigskip
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\block{\blocktitlewrap{Vector Network Analysis}}{
+All vector network analysis tools provide now fine control over node costs.
+\centering
\begin{minipage}{0.5\linewidth}
-\includegraphics[width=\textwidth, trim={0 180 0 0}, clip]{diversity_classes}
+\begin{center}
+\includegraphics[width=\textwidth]{network}
+Shortest path between two points in the Wake County road network (NC, USA)
+\end{center}
\end{minipage}
-\begin{minipage}{0.5\linewidth}
-\includegraphics[width=\textwidth, trim={0 180 0 0}, clip]{diversity_shannon}
-\end{minipage}
-\medskip
-Landuse classes and derived landscape diversity according to Shannon index in near Charlotte (NC, USA)
-% r.diversity input=development_2006 prefix=diversity alpha=0.5 size=65
-% r.li.shannon input="development_2006" config="conf_diversity_65.0" output="diversity_shannon_size_65.0"
}
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\block{\blocktitlewrap{Conclusions}}{
-\renewcommand{\labelitemi}{\textcolor{gray}{$\bullet$}\hspace{0.5ex}}
-
-% TODO: review the points, it should be the highlight or something like that
-
-\begin{itemize}
- \item Algorithms and models, included in GRASS GIS remain available long term (already for 30 years).
- \item The GRASS GIS development team takes care of API and operating system related changes. % in the provided contributions.
- \item Scientists can use highly specialized tools implemented by others as a result of having both scientific publications and source code at hand.
- \item The long term preservation of knowledge allows scientists to build new research and tools upon existing know-how.
-\end{itemize}
-}
-
-
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\block{\blocktitlewrap{References and Acknowledgements}}{
+\block{\blocktitlewrap{References}}{
\vspace{-0.2cm}
\scriptsize
@@ -432,29 +482,53 @@
%\blocksectiontitle{References}
\begingroup
\renewcommand{\section}[2]{}%
-\bibliographystyle{plain}
+\bibliographystyle{apalike}
\bibliography{poster}
\endgroup
-\textcolor{gray}{
-\hrulefill
}
-\blocksectiontitle{Acknowledgements}
-We acknowledge Matthew Horvath for \emph{Spill impacts from coal ash pond using GRASS GIS} and
-% http://www4.ncsu.edu/~jcfounta/Summer14Posters/horvath.pdf
-Eva Stopkova for physical model of High Tatras.
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\block{\blocktitlewrap{Acknowledgements}}{
-GRASS GIS project is a Open Source Geospatial Foundation (OSGeo) project and is using OSGeo infrastructure for Web site and code repository.
+\newcommand{\listhspace}{\hspace{0.005\linewidth}}
+\newcommand{\listlogowidth}{0.10\linewidth}
+\newcommand{\listtextwidth}{0.82\linewidth}
-\vspace{-0.2cm}
+\begin{minipage}{\listlogowidth}
+\includegraphics[width=\linewidth]{osgeo}
+\end{minipage}
+\listhspace
+\begin{minipage}{\listtextwidth}
+Open Source Geospatial Foundation (OSGeo)
+supports the collaborative development of open source geospatial software.
+GRASS GIS is a OSGeo project.
+OSGeo provides infrastructure for project
+websites, mailing lists and source code management.
+\end{minipage}
+\bigskip
+
+\begin{minipage}{\listlogowidth}
+\includegraphics[width=\linewidth]{google}
+\end{minipage}
+\listhspace
+\begin{minipage}{\listtextwidth}
+Initial development of \gmodule{i.segement} module as well as several other developments
+were done as a part of the Google Summer of Code project.
+Google provides financial support to students and organizations participating in the Google Summer of Code project.
+\end{minipage}
+
+\bigskip
+
+\vspace{0.2cm}
+
\textcolor{gray}{
\hrulefill
}
-\vspace{-0.1cm}
+\vspace{0.1cm}
\newcommand{\qrcodesize}{0.05\linewidth}
@@ -474,14 +548,6 @@
\small {\href{http://grass.osgeo.org}{\nolinkurl{grass.osgeo.org}}}
\end{minipage}
-\begin{minipage}{\qrcodesize}
-\includegraphics[width=\textwidth]{./images/qr_grasswiki.pdf}
-\end{minipage}
-~
-\begin{minipage}{0.2\linewidth}
-\small {\href{http://grasswiki.osgeo.org}{\nolinkurl{grasswiki.osgeo.org}}}
-\end{minipage}
-
\begin{minipage}{0.1\linewidth}
\href{http://creativecommons.org/licenses/by-sa/4.0/}{\includegraphics[width=\textwidth]{ccbysa}}
\end{minipage}
Added: grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/topo_example.txt
===================================================================
--- grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/topo_example.txt (rev 0)
+++ grass-promo/grassposter/2017_NCGIS_How_innovations_thrive/topo_example.txt 2017-02-20 05:27:54 UTC (rev 70638)
@@ -0,0 +1,42 @@
+DIGIT NAME: vpetras
+MAP DATE: Sun Feb 19 22:56:43 2017
+VERTI:
+C 1 1
+ 20.10795595 60.54319764
+ 1 1
+C 1 1
+ 51.86024171 61.9113356
+ 1 2
+B 10
+40.0278379309 74.22082728
+40.0278379309 62.1579269574
+40.0278379309 55.8642398326
+40.5523118579 46.7733584301
+34.0838000908 42.5775670136
+16.9509851399 45.1999366489
+11.1817719422 58.8362587527
+13.9789662199 72.1229315717
+20.2726533447 75.9690737035
+40.0278379309 74.22082728
+B 12
+37.3774872156 78.2907419083
+38.0278379309 75.22082728
+41.0278379309 61.1579269574
+42.0278379309 56.8642398326
+37.5523118579 45.7733584301
+47.7201221945 39.7803727359
+63.6291646489 52.3677469855
+69.573202489 61.9831023151
+64.3284632183 67.9271401551
+57.6851268088 76.3187229882
+45.7970511286 77.7173201271
+37.3774872156 78.2907419083
+L 3 1
+23 30
+23 23
+23 9
+ 1 3
+L 2 1
+65 23
+20 23
+ 1 4
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