Spatial Data Acquisition and Cartography using GIS

Learn how map projection and geographic coordinate systems transform latitude and longitude into usable two-dimensional maps, using UTM zones, Mercator projection, and attribute tables in GIS.

Apply map projection practices, define geographic coordinate systems, and manage gis attribute tables by creating fields, calculating geometry, joining population data, and deriving population density for mapped features.

Georeference and digitize by aligning data to a coordinate system with ground control points, then convert analog maps to vector data and reduce overshoot and redundancy.

Master georeferencing and digitization of a scanned map by building a skin map, applying control points, and tracing boundaries, roads, and religious places as map features.

Explore spatial data acquisition and cartography with Google Earth, using satellite imagery, aerial photographs, and keyhole markup language (KML) to view, digitize features, and compare historical imagery for GIS projects.

Digitize land cover polygons, roads, and landmarks in Google Earth, export to KML, and import into the GIS platform to build a land-cover map and analyze features.

Define maps as graphic representations of the earth, simplified and labeled. Show how GIS layers combine to portray location and attributes across map types.

Design map layouts and cartography using layout view and data frames, configuring scale, legends, titles, grids, and data layers, then export pdfs for infrastructure and land cover maps.