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Mar 25, 2015 at 20:10 vote accept rgmrtn
Mar 25, 2015 at 15:36 comment added Martin F At risk of being called a "northernist" may i suggest @matt wilkie as a possible "local" advisor?
Mar 25, 2015 at 15:27 history edited Martin F CC BY-SA 3.0
added OP's own extra info
Mar 25, 2015 at 15:22 answer added Martin F timeline score: 1
Mar 25, 2015 at 14:41 comment added rgmrtn @MartinF although I am utilizing ESRI tools for this problem my question is not specific to those. I am working with a dataset which covers 650,000 square kilometres of the NWT and NU in Canada, I've decided to use spatialreference.org/ref/epsg/nad83-nwt-lambert for all of the data. My question was most likely posed wrong, I am new to the scene. I was wondering if it would be better to leave the data unprojected or pick a projection for all of the data to be in.
Mar 25, 2015 at 14:31 comment added Martin F And welcome to GIS SE!
Mar 25, 2015 at 14:30 comment added Martin F Is this just about how to use esri tools (or which esri tool to use), as suggested by your question tags and by sean's answer? Or is it about the concept of coordinate systems and spatial analysis, as suggested by your wording? If the latter, study the words of wisdom (aka whuber)!
Mar 25, 2015 at 14:24 comment added Martin F @whuber, That's too much work you've put in for a mere comment!
Mar 17, 2015 at 20:57 comment added whuber Any criteria that depend on metric properties derived from the data--including (but not limited to)--distance, orientation, length, area, angle, and slope--will typically depend on the choice of coordinates and thus require an appropriate projection (or set of projections). For specifics see (inter alia) area, aspect, slope, distance, and general principles
Mar 17, 2015 at 20:29 review First posts
Mar 17, 2015 at 21:03
Mar 17, 2015 at 20:28 answer added Sean Adkins timeline score: -2
Mar 17, 2015 at 20:26 comment added Dan C It might help to name some of the criteria you'll be using as part of your analysis.
Mar 17, 2015 at 20:23 history asked rgmrtn CC BY-SA 3.0