Geographic Information System

This post features IT technologies to work with geographic and geographic data.

This post is an introduction to GIS.

Geospatial Data Structures

Geographic data structures featured on this post:

  • GeoJSON

GeoJSON

GeoJSON official website

GIS Digital Images

Types of GIS digital images:

  • Raster
  • Vector

Raster

A raster in GIS structures space into a series of discrete elements by means of a regular grid, generally composed of square cells, also called pixels.

It bases its functionality on an implicit conception of the neighborhood relationships between geographic objects.

Vector

A vector in GIS consists of lines or arcs, defined by their start and end points, and points where several arcs intersect, the nodes.

Geospatial Databases

Geospatial or geographic databases featured on this post:

  • PostGIS
  • Mongoose

PostGIS

PostGIS adds support for geographical objects in PostgreSQL databases.

It is FOSS.

PostGIS official website

Mongoose

Mongoose is an ODM (object-document mapper) for MongoDB.

Mongoose can handle GeoJSON.

You can read more about how to work with geospatial data in Mongoose on this external link.

Geographic Libraries

Geographic libraries:

  • Python
    • GeoPandas
    • Shapely
    • PyProj
    • GDAL

Geographic Web Frameworks

Geographic web frameworks featured on this post:

  • Django
    • GeoDjango

GeoDjango

GeoDjango is a Django module. It is FOSS.

GeoDjango official website

Geographic Information Regulation

Directive 2007/2/EC, commonly known as INSPIRE (Infrastructure for Spatial Information in Europe) is incorporated into Spanish law through Law 14/2010 on infrastructure and geographic information services in Spain (LISIGE).

INSPIRE official website

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External References

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