Course Summary
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 Abstract/Simplify |
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 "Assume a sphere…" |
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 Project onto 2 Dimensions |
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D A T A |
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| V E C T O R D A T A | ||
| SHP file(s) | |
Read directly |
| Multiple other formats geojson, KML, GML, GPX, etc. |
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Can be read by QGIS |
| Text or spreadsheet with join field |
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Read CSV as vector Layer>Properties>Join Change field data types as needed OR use CSVT file |
| Text or spreadsheet with long/lat fields |
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Import as points |
| R A S T E R D A T A | ||
| BTW: jpeg, tif, gif, png | ||
| aerial/satellite photos printed maps |
remote sensing images (pixels have data values) or generated from interpolation (e.g., heat maps) |
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| georeferencing digitizing |
raster calculations raster processing |
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| I N S I D E T H E G I S | ||
| cartography graphic design |
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symbolization simplification visual variables crap |
| thematic mapping | |
equal intervals quantiles standard deviation pretty |
| geo-processing | |
convex hull union/intersection difference buffer |
| analysis | |
e.g., count points in polygons spatial joins |
| layout | |
Fully self documented maps |
| W E B M A P P I N G | ||
| OSM | ||
| FieldPapers | ||
| Leaflet | javascript | |