[GRASS-dev] sample vector temporal data
hmitaso at ncsu.edu
Tue Oct 7 18:35:23 PDT 2014
to put these data into context, the dataset should include also at least one ortho (probably for 2009) and perhaps
also a lidar-based DEM for 2009.
I think that the detail will work better - maybe you can show it on orthophoto or a DEM to make it easier to understand what
the lines mean.
To derive vector time series from the climate data where the geometry is changing just derive isolines for temperature
or precipitation from the existing rasters. If the isolines are noisy we can smooth them out using v.generalize or reinterpolate some data.
This may be a simpler solution because it will use the same data set.
But the shoreline may be more interesting.
Professor at the Department of Marine,
Earth, and Atmospheric Sciences
and Center for Geospatial Analytics
North Carolina State University
Raleigh, NC 27695-8208
hmitaso at ncsu.edu
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On Oct 7, 2014, at 9:21 PM, Anna Petrášová wrote:
> as you know we need to decide which data are we going to use for t.vect.* examples. One possibility is to use oceanfront shorelines of North Carolina, we can get this data easily from here:
> It includes these years, interval data in case of older data, and instance data from the past years:
> 1849 - 1873, 1925 - 1946, 1933 - 1952, 1940 - 1962, 1970 - 1988, 1997, 1998, 2003, 2004, 2009
> The advantage is that the data is public and basically ready to use. If we decide to use it, should we include the entire NC shoreline or just some detail (look at the attachment)?
> In addition, we can also create a vector time-series where the geometry is not changing, just the attribute changes (derived from the climate data for example).
> Any thoughts on this?
> By the way, the climate dataset seems to be fine, we got the confirmation we can use it, it is not subject to the PRISM licence since it was interpolated at NC State Climate Office.
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