[Qgis-user] RE: GPS route

Michael Spencer michael_spencer at live.co.uk
Mon Mar 12 08:26:56 PDT 2012 

Thanks again - just spotted the Points2One plugin which will join points based on field - allowing me to create a line to use as a route.

> Spencer wrote:
> 
> 
> Thanks all for your speedy weekend replies! The points to paths plugin is the easy answer I'm looking for. It's pretty straight forward to convert a line defined by two points to a series of points in GRASS, but converting them back to a multinode line was the stumbling block. Drawing them manually didn't appeal.
> 
> Does the points to paths line appear in v1.7.4? I can't currently see it, although Martin Dobias' sandbox is not loading this evening...
> 
> Cheers,
> M
> 
> > Zirneklitis wrote:
> > 
> > Another option: Spreadsheet + trigonometry + Add Delimited Text Layer 
> > plug-in (+ Points to Paths plug-in)
> > 
> > K.
> > 
> > Kris Nackaerts wrote:
> > > ..
> > > I would opt to use PostGIS as backend. ..
> > >
> > > If you like working with python, Shapely could be an option too, ..
> > >..
> > >>
> > >> From: qgis-user-bounces at lists.osgeo.org
> > >> [mailto:qgis-user-bounces at lists.osgeo.org] On Behalf Of Michael
> > >> Spencer
> > >> ..
> > >> I'm trying to create a .gpx route along a straight line, but with a
> > >> node ~100m. i.e. I have a transect and wish to survey every 100m. How
> > >> can I split straight polylines with a node every 100m, but keep the
> > >> same line?
> > >>..
>  		 	   		  
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> ------------------------------
> 
> Message: 5
> Date: Sun, 11 Mar 2012 16:16:57 -0700
> From: john raskulinecz <jerasku at hotmail.com>
> Subject: [Qgis-user] advice on the right hardware and o.s. to maximise
> 	qgis	potential
> To: <qgis-user at lists.osgeo.org>
> Message-ID: <SNT143-W2402D68ABFB1342E56E48CBE5A0 at phx.gbl>
> Content-Type: text/plain; charset="iso-8859-1"
> 
> 
> DEAR LIST, 
>  WAS WONDERING IF ANYONE CAN GIVE ME SOME ADVICE AS TO WHAT WOULD BE THE BEST HARD WARE AND OPERATING SYSTEM TO COMPILE SO AS TO MAXIMISE GQGIS'S POTENTIAL AND UTILITIES. I AM ABOUT TO BUY A NEW DESK TOP SPECIFICALY TO RUN QGIS AND ALL PLUGINS AND WILL BE BUILDING FROM SCRATCH. ANY IDEAS AS TO MAC VS. PC OR INTEL VS. AMD OR HOW MUCH MEMORY, SPEED IS ENOUGH OR IS OVERKILL. I DON'T WANT TO INCITE THE TRADITIONAL MAC -PC WAR BUT ANY HELP OR GUIDENCE EOULD BE GREATLY APPRECIATED.
>  J.R.
>  		 	   		  
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> ------------------------------
> 
> Message: 6
> Date: Sun, 11 Mar 2012 16:34:49 -0700
> From: Alex Mandel <tech_dev at wildintellect.com>
> Subject: Re: [Qgis-user] advice on the right hardware and o.s. to
> 	maximise	qgis	potential
> To: qgis-user at lists.osgeo.org
> Message-ID: <4F5D3699.7000401 at wildintellect.com>
> Content-Type: text/plain; charset=ISO-8859-1
> 
> On 03/11/2012 04:16 PM, john raskulinecz wrote:
> > 
> > DEAR LIST, 
> >  WAS WONDERING IF ANYONE CAN GIVE ME SOME ADVICE AS TO WHAT WOULD BE THE BEST HARD WARE AND OPERATING SYSTEM TO COMPILE SO AS TO MAXIMISE GQGIS'S POTENTIAL AND UTILITIES. I AM ABOUT TO BUY A NEW DESK TOP SPECIFICALY TO RUN QGIS AND ALL PLUGINS AND WILL BE BUILDING FROM SCRATCH. ANY IDEAS AS TO MAC VS. PC OR INTEL VS. AMD OR HOW MUCH MEMORY, SPEED IS ENOUGH OR IS OVERKILL. I DON'T WANT TO INCITE THE TRADITIONAL MAC -PC WAR BUT ANY HELP OR GUIDENCE EOULD BE GREATLY APPRECIATED.
> >  J.R.
> >  		 	   		  
> > 
> 
> Those answers actually depend more on your budget than anything else.
> 
> Best operating system - Linux,
> because 64bit builds are packaged and compiling is easy (Mac compiling
> is not so easy for add ons, and Windows compiling at this point in time
> seems to require Visual Studio). Note even if you do buy Windows, make
> sure you get 64 bit, you will need to compile QGIS yourself to get a 64
> bit version at this time.
> A large number of QGIS developers/power users are on linux too.
> 
> Your bottleneck is actually most likely going to be disk speed for
> read/write.
> 
> A minimum spec GIS workstation(Assuming we mean desktop not server or
> laptop) for reasonable performance:
> Intel i7
> 4 GB ram (min, 8-16 better)
> an SSD for the OS (Intel's have the best reliability)
> an SATA III, big drive for storage (WD, Seagate, Hitach or Samsung)
> an PCI express graphics card of 256MB+
> 
> There's no way to know what would be overkill without knowing what kind
> of datasets you'll be working on and how big they are. The bigger the
> datasets the more RAM you'll want.
> 
> Enjoy,
> Alex
> 
> 
> ------------------------------
> 
> Message: 7
> Date: Mon, 12 Mar 2012 02:36:46 +0200
> From: Zirneklitis <eko at lanet.lv>
> Subject: [Qgis-user] Re: Qgis-user Digest, Vol 73, Issue 35
> Cc: QGIS Users <qgis-user at lists.osgeo.org>
> Message-ID: <4F5D451E.5070104 at lanet.lv>
> Content-Type: text/plain; charset=ISO-8859-1; format=flowed
> 
> 'Points2One' is an alternative.
> 
> K.
> 
> Michael Spencer wrote:
> > ..
> > > Does the points to paths line appear in v1.7.4? I can't currently see
> > it, although Martin Dobias' sandbox is not loading this evening...
> >..
> 
> 
> ------------------------------
> 
> Message: 8
> Date: Sun, 11 Mar 2012 17:45:21 -0700 (PDT)
> From: pcreso at pcreso.com
> Subject: Re: [Qgis-user] advice on the right hardware and o.s. to
> 	maximise	qgis potential
> To: qgis-user at lists.osgeo.org
> Message-ID:
> 	<1331513121.21309.YahooMailClassic at web160702.mail.bf1.yahoo.com>
> Content-Type: text/plain; charset="iso-8859-1"
> 
> One additional point, while I agree that Linux is the optimal operating system, if you are not an existing Linux user, then you'll get lots of conflicting advice as to which Linux distribution is best. So I'll start the conflict :-)
> 
> I use both OpenSuse & Ubuntu & would rank OpenSuse as slightly ahead at the moment. Fedora is another viable alternative. All have extensive GIS software repositories which make the installation & upgrading of QGIS and related applications a pretty straightforward exercise.
> 
> Many Linux purists prefer Debian, which is certainly robust & stable, but I find more complex to administer than some more user friendly distros.
> 
> I'd look around & see which of the above you have some local support for & run with that, if you are new to Linux, having a colleague to help is more useful than your choice of distribution.
> 
> Otherwise Alex's reply pretty much covers it.
> 
> Cheers,
> 
>    Brent Wood
> 
> 
> 
> 
> --- On Mon, 3/12/12, Alex Mandel <tech_dev at wildintellect.com> wrote:
> 
> From: Alex Mandel <tech_dev at wildintellect.com>
> Subject: Re: [Qgis-user] advice on the right hardware and o.s. to maximise qgis potential
> To: qgis-user at lists.osgeo.org
> Date: Monday, March 12, 2012, 12:34 PM
> 
> On 03/11/2012 04:16 PM, john raskulinecz wrote:
> > 
> > DEAR LIST, 
> >  WAS WONDERING IF ANYONE CAN GIVE ME SOME ADVICE AS TO WHAT WOULD BE THE BEST HARD WARE AND OPERATING SYSTEM TO COMPILE SO AS TO MAXIMISE GQGIS'S POTENTIAL AND UTILITIES. I AM ABOUT TO BUY A NEW DESK TOP SPECIFICALY TO RUN QGIS AND ALL PLUGINS AND WILL BE BUILDING FROM SCRATCH. ANY IDEAS AS TO MAC VS. PC OR INTEL VS. AMD OR HOW MUCH MEMORY, SPEED IS ENOUGH OR IS OVERKILL. I DON'T WANT TO INCITE THE TRADITIONAL MAC -PC WAR BUT ANY HELP OR GUIDENCE EOULD BE GREATLY APPRECIATED.
> >  J.R.
> >                            
> > 
> 
> Those answers actually depend more on your budget than anything else.
> 
> Best operating system - Linux,
> because 64bit builds are packaged and compiling is easy (Mac compiling
> is not so easy for add ons, and Windows compiling at this point in time
> seems to require Visual Studio). Note even if you do buy Windows, make
> sure you get 64 bit, you will need to compile QGIS yourself to get a 64
> bit version at this time.
> A large number of QGIS developers/power users are on linux too.
> 
> Your bottleneck is actually most likely going to be disk speed for
> read/write.
> 
> A minimum spec GIS workstation(Assuming we mean desktop not server or
> laptop) for reasonable performance:
> Intel i7
> 4 GB ram (min, 8-16 better)
> an SSD for the OS (Intel's have the best reliability)
> an SATA III, big drive for storage (WD, Seagate, Hitach or Samsung)
> an PCI express graphics card of 256MB+
> 
> There's no way to know what would be overkill without knowing what kind
> of datasets you'll be working on and how big they are. The bigger the
> datasets the more RAM you'll want.
> 
> Enjoy,
> Alex
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