Awesome-Mirrors/Awesome-Geospatial
1
0
Fork 0
mirror of https://github.com/sacridini/Awesome-Geospatial.git synced 2024-10-01 00:55:41 -04:00
Code Issues Packages Projects Releases Wiki Activity
72de737108
Awesome-Geospatial/README.md
Eduardo Lacerda 72de737108 Update README.md
2017-03-29 15:08:00 -03:00

415 lines
33 KiB
Markdown
Raw Blame History

# Awesome-Geospatial
- [Awesome Geospatial](#awesome-geospatial)
- [Database](#database)
- [Image Classification & DIP Software](#image-classification--dip-software)
- [Geographic Information System](#geographic-information-system)
- [Web Map Development](#web-map-development)
- [Web Map Server](#web-map-server)
- [Radar](#radar)
- [Lidar](#lidar)
- [Geographic Data Mining](#geographic-data-mining)
- [Atmospheric Correction](#atmospheric-correction)
- [Libraries](#libraries)
- [Python](#python)
- [PaaS - Platform as a Service](#paas---platform-as-a-service)
- [SaaS - Software as a Service](#saas---software-as-a-service)
- [DaaS - Data as a Service](#daas---data-as-a-service)
- [Java](#java)
- [C Sharp](#c-sharp)
- [C++](#c++)
- [C](#c)
- [Ruby](#ruby)
- [CSS](#css)
- [Julia](#julia)
- [R](#r)
- [JavaScript](#javascript)
- [Node.js](#nodejs)
- [Mobile Development](#mobile-development)
- [Visualization](#visualization)
- [Tools](#tools)
- [Data Sources](#data-sources)
- [Resources](#resources)
- [References](#references)
- - -
## Database
* [PostGIS](http://postgis.net/) - PostgreSql spatial extension.
* [PostGIS Vector Tile Utils](https://github.com/mapbox/postgis-vt-util) - A set of PostgreSQL functions that are useful when creating vector tile sources.
* [Spatialite](http://www.gaia-gis.it/gaia-sins/) - SQLite spatial extension.
* [Neo4j Spatial](https://github.com/neo4j-contrib/spatial) - Library of spatial utilities for Neo4j.
* [Oracle Spatial](http://www.oracle.com/us/products/database/options/spatial/overview/index.html) - Oracle database spatial extension.
* [MySql Spatial](http://dev.mysql.com/doc/refman/5.7/en/spatial-extensions.html) - MySql spatial extension.
* [GeoCouch](https://github.com/couchbase/geocouch) - GeoCouch is a spatial extension for Couchbase and Apache CouchDB.
* [Cloudant](https://cloudant.com/) - IBM noSQL database that supports spatial data (GeoJSON).
* [MondoDB](https://www.mongodb.com/) - Also supports GeoJSON and spatial indexes.
* [DB2 Spatial Extender](http://www-03.ibm.com/software/products/en/db2spaext) - Spatial Extender allows you to store, manage, and analyze spatial data in DB2.
* [Informix Spatial](http://www-01.ibm.com/software/data/informix/spatial/) - Informix spatial extension.
* [Teradata Geospatial Feature](http://br.teradata.com/Resources/Demos/Teradata-Geospatial-Features-Overview/?LangType=1046&LangSelect=true) - Teradata spatial extension for DW and BI.
## Image Classification & DIP Software
* [eCognition](http://www.ecognition.com/suite/ecognition-developer) - GEOBIA software.
* [Interimage](http://www.lvc.ele.puc-rio.br/projects/interimage/) - Open Source GEOBIA software.
* [ENVI](http://www.harrisgeospatial.com/ProductsandSolutions/GeospatialProducts/ENVI.aspx) - Geospatial image processing and classification software.
* [ERDAS](http://www.hexagongeospatial.com/products/producer-suite/erdas-imagine) - Geospatial image processing and classification software.
* [PCI Geomatica](http://www.pcigeomatics.com/software/geomatica/professional) - Remote sensing software package for image processing
* [Global Mapper](http://www.bluemarblegeo.com/products/global-mapper.php) - Geospatial and remote sensing data analysis.
* [Spring](http://www.dpi.inpe.br/spring/english/index.html) - GIS and remote sensing image processing system with an object-oriented data model.
* [TerrSet](https://clarklabs.org/terrset/) - TerrSet (formerly IDRISI) is an integrated geographic information system (GIS) and remote sensing software
* [OSSIM](http://trac.osgeo.org/ossim/) - Suite of geospatial libraries and applications used to process imagery, maps, terrain, and vector data.
* [e-Foto](http://www.efoto.eng.uerj.br/en) - Free and open source digital photogrammetric workstation.
* [Guidos Toolbox](http://forest.jrc.ec.europa.eu/download/software/guidos/) - Some GDAL functionalities and includes MSPA (Morphological Spatial Pattern Analysis) for connectivity maps.
* [Matlab](http://www.mathworks.com/products/matlab/) - Multi-paradigm numerical computing environment and fourth-generation programming language.
* [IDL](http://www.harrisgeospatial.com/ProductsandSolutions/GeospatialProducts/IDL.aspx) - IDL is a programming language used for data analysis and image processing programming.
* [ArcMap Raster Edit Suite](https://github.com/haoliangyu/ares) - An ArcMap Addin that enables manual editing of single pixels on raster layer.
## Geographic Information System
* [ArcGIS](https://www.arcgis.com/features/) - GIS for working with maps and geographic information.
* [QGIS](http://www.qgis.org/en/site/) - Cross-platform free and open-source desktop geographic information system.
* [Terraview](http://www.dpi.inpe.br/terraview_eng/index.php) - GIS application built using the TerraLib GIS library.
* [gvSIG](http://www.gvsig.com/en) - Free and open source GIS.
* [GRASS GIS](https://grass.osgeo.org/) - GRASS (Geographic Resources Analysis Support System) is a free and open source GIS.
* [ILWIS](http://52north.org/communities/ilwis/ilwis-open) - Integrated Land and Water Information System (ILWIS) is a remote sensing and GIS software.
* [MapWindow GIS](http://www.mapwindow.org/) - Free and open source desktop geographic information system.
* [MapInfo](http://www.pitneybowes.com/us/location-intelligence/geographic-information-systems/mapinfo-pro.html) - Commercial GIS.
* [Geomedia](http://www.hexagongeospatial.com/products/producer-suite/geomedia) - Commercial GIS.
* [uDig](http://udig.refractions.net/) - A GIS Framework for Eclipse (Java) and also a GIS software.
* [SAGA](http://www.saga-gis.org/en/index.html) - SAGA is the abbreviation for System for Automated Geoscientific Analyses.
* [Manifold System](http://www.manifold.net/) - Commercial GIS.
* [AutoCAD Map 3D](http://www.autodesk.com.br/products/autocad-map-3d/overview) - GIS AutoCAD integration.
* [Smallworld](https://www.gegridsolutions.com/geospatial/catalog/smallworld_core.htm) - Commercial GIS.
* [OpenJUMP](http://openjump.org/) - Open source Java GIS.
* [Mapbox Studio](https://github.com/mapbox/mapbox-studio-classic) - Desktop application for vector tile driven map design.
## Web Map Development
* [OpenLayers](http://openlayers.org/) - Open source AJAX library.
* [Leaflet](http://leafletjs.com/) - Open-Source JavaScript Library for Mobile-Friendly Interactive Maps.
* [Geomanjas](http://www.geomajas.org/) - Open source development software for web-based and cloud based GIS applications.
* [Cesium](https://cesiumjs.org/) - An open-source JavaScript library for world-class 3D globes and maps.
* [geojson-vt](https://github.com/mapbox/geojson-vt) - A highly efficient JavaScript library for slicing GeoJSON data into vector tiles on the fly.
* [ArcGIS JS App Generator](https://github.com/odoe/generator-arcgis-js-app) - This is a yeoman generator for ArcGIS API for JavaScript applications.
* [CMV - The Configurable Map Viewer](https://github.com/cmv/cmv-app) - CMV is a community-supported open source mapping framework. CMV works with the Esri JavaScript API, ArcGIS Server, ArcGIS Online and more.
* [Leaflet.MapboxVectorTile](https://github.com/SpatialServer/Leaflet.MapboxVectorTile) - A Leaflet Plugin that renders Mapbox Vector Tiles on HTML5 Canvas.
* [Flare Cluster Layer](https://github.com/nickcam/FlareClusterLayer) - ArcGIS javascript custom graphics layer. Creates clusters and creates flares for clusters.
* [Google Maps API Polyline String Decoder](https://github.com/mgd722/decode-google-maps-polyline) - Function that will convert encoded polyline strings (as returned by the Google Maps API) into a list of lat/lon pairs.
* [Mapzen Tangram](https://github.com/tangrams/tangram) - JavaScript library for rendering 2D & 3D maps live in a web browser with WebGL, supports MVT, GeoJSON, TopoJSON.
## Web Map Server
* [Geoserver](http://geoserver.org/) - WMS written in Java and relies on GeoTools. Allows users to share and edit geospatial data.
* [Mapserver](http://mapserver.org/) - WMS written in C.
* [MapGuide](https://mapguide.osgeo.org/) - Runs on Linux or Windows, supports Apache and IIS web servers, and has APIs (PHP, .NET, Java, and JavaScript) for application development.
* [PGRestAPI](https://github.com/spatialdev/PGRestAPI) - Node.js REST API for PostGres Spatial Entities. AKA: SpatialServer.
* [utilery](https://github.com/tilery/utilery) - Micro vector tile manufacturing from PostGIS.
## Radar
* [PolSARpro](https://earth.esa.int/web/polsarpro) - Open source radar image data processing software.
* [Sarmap](http://www.sarmap.ch/page.php?page=sarscape) - Synthetic Aperture Radar processing software.
* [GAMMA](http://www.gamma-rs.ch/no_cache/software.html) - Allows processing of SAR, interferometric SAR (InSAR) and differential interferometric SAR (DInSAR).
* [Sentinel Toolboxes](https://sentinel.esa.int/web/sentinel/toolboxes) - Free open source toolboxes for the scientific exploitation of the Sentinel missions.
* [NANSAT](https://github.com/nansencenter/nansat) - Nansat is a scientist friendly Python toolbox for processing 2D satellite earth observation data.
## Lidar
* [FME Desktop](https://www.safe.com/fme/fme-desktop/) - FME is an integrated collection of Spatial ETL tools for data transformation and data translation.
* [LAStools](http://www.cs.unc.edu/~isenburg/lastools/) - A collection of highly-efficient, scriptable tools with multi-core batching that process LAS, compressed LAZ, Terrasolid BIN, .shp, and ASCII.
* [FullAnalyze](https://code.google.com/archive/p/fullanalyze/) - Handling, visualizing and processing lidar data (3D point clouds and waveforms).
* [DielmoOpenLidar](http://www.dielmo.com/eng/ficha-tecnologia-software.php?prod=21) - Open source software based in gvSIG for the management of LiDAR data.
* [Global Mapper Lidar Module](https://www.bluemarblegeo.com/products/global-mapper-lidar.php) - Lidar module for Global Mapper.
* [Fusion](http://forsys.cfr.washington.edu/fusion/fusionlatest.html) - Python for Lidar data.
* [libLAS](http://www.liblas.org/) - libLAS is a C/C++ library for reading and writing the very common LAS LiDAR format.
* [PyLAS](https://pypi.python.org/pypi/PyLAS) - A python library for reading and writing LAS files.
* [Laspy](http://laspy.readthedocs.io/en/latest/) - Laspy is a python library for reading, modifying, and creating .LAS LIDAR files.
* [PDAL](http://www.pdal.io/) - PDAL is a C++ BSD library for translating and manipulating point cloud data.
## Geographic Data Mining
* [Weka](http://www.cs.waikato.ac.nz/ml/weka/) - Weka is a collection of machine learning algorithms for data mining tasks written in Java.
* [GeoDMA](https://sourceforge.net/projects/geodma/) - GeoDMA is a plugin for TerraView software, used for geographical data mining.
## Atmospheric Correction
* [ATCOR](http://www.atcor.de/) - ERDAS Imagine module.
* [6S](http://6s.ltdri.org/) - Open source algorithm.
## Libraries
* [GDAL](http://www.gdal.org/) - Geospatial Data Abstraction Library (GDAL) is a computer library.
* [Mapnik](http://mapnik.org/) - C++/Python/Node.js library for rendering.
* [Terralib](http://www.terralib.org/) - TerraLib is a GIS classes and functions open source library.
* [GeographicLib](http://geographiclib.sourceforge.net/) - For solving geodesic problems. Implemented in C, C++, Java, Javascript, Fortran, Python and Matlab.
* [Orfeo ToolBox](https://www.orfeo-toolbox.org/) - Orfeo ToolBox (OTB) is an open-source C++ library for remote sensing images processing.
* [Geolib](http://www.geolib.co.uk/) - GeoLib is a fast, efficient, computational geometry library available in C++, C# and Java.
## Python
* [GeoDjango](http://geodjango.org/) - Django geographic web framework.
* [Landsat-util](https://github.com/developmentseed/landsat-util) - Landsat-util is a command line utility that makes it easy to search, download, and process Landsat imagery.
* [Rasterio](https://github.com/mapbox/rasterio) - Rasterio employs GDAL under the hood for file I/O and raster formatting.
* [Rasterstats](https://github.com/perrygeo/python-rasterstats/) - Python module for summarizing geospatial raster datasets based on vector geometries.
* [Pandas](http://pandas.pydata.org/) - Open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
* [Shapely](https://pypi.python.org/pypi/Shapely) - Manipulation and analysis of geometric objects in the Cartesian plane.
* [Cartopy](http://scitools.org.uk/cartopy/) - A library providing cartographic tools for python for plotting spatial data.
* [Rtree](http://toblerity.org/rtree/) - For efficiently querying spatial data.
* [NodeBox-opengl](http://www.cityinabottle.org/nodebox/) - For playing around with animations.
* [Statsmodels](http://statsmodels.sourceforge.net/) - Python module that allows users to explore data, estimate statistical models, and perform statistical tests.
* [NumPy](http://www.numpy.org/) - NumPy is the fundamental package for scientific computing with Python.
* [geopy](https://github.com/geopy/geopy) - geopy is a Python 2 and 3 client for several popular geocoding web services.
* [IPython](http://ipython.org/) - For a wondering interactive environment in which to play.
* [FreeType](https://code.google.com/archive/p/freetype-py/) - For converting font glyphs to polygons.
* [PyQGIS](http://docs.qgis.org/testing/en/docs/pyqgis_developer_cookbook/) - Python for QGIS.
* [Fiona](http://toblerity.org/fiona/) - For making it easy to read/write geospatial data formats.
* [matplotlib](http://matplotlib.org/) - Python 2D plotting library.
* [networkx](http://networkx.github.io/) - To work with networks.
* [PySAL](http://pysal.readthedocs.io/en/latest/) - For all your spatial econometrics needs.
* [Descartes](https://pypi.python.org/pypi/descartes) - Plot geometries in matplotlib.
* [PyShp](https://code.google.com/archive/p/pyshp/) - For reading and writing shapefiles.
* [PyProj](https://github.com/jswhit/pyproj) - For conversions between projections.
* [Pyncf](https://github.com/karimbahgat/pyncf) - Pure Python NetCDF file reading and writing.
* [chupaESRI](https://github.com/johnjreiser/chupaESRI) - ChupaESRI is a Python module/command line tool to extract features from ArcGIS Server map services.
* [GeoPandas](https://github.com/geopandas/geopandas) - Python tools for geographic data.
* [geojsonio.py](https://github.com/jwass/geojsonio.py) - Open GeoJSON data on geojson.io from Python. geojsonio.py also contains a command line utility that is a Python port of geojsonio-cli.
* [Ogcserver](https://github.com/mapnik/OGCServer) - Python WMS implementation using Mapnik.
* [RSGISLib](http://www.rsgislib.org/) - The Remote Sensing and GIS software library (RSGISLib) is a collection of tools for processing remote sensing and GIS datasets. The tools are accessed using Python bindings or an XML interface.
* [Scikit-image](http://scikit-image.org/) - Scikit-image is a collection of algorithms for image processing.
## PaaS - Platform as a Service
* [Google Maps API](https://developers.google.com/maps/) - Google's PaaS (Platform as a Service) for Geocoding or analysis/processing services.
* [Microsoft Bing API](https://www.bingmapsportal.com/) - Microsoft Bing Maps API.
* [OpenStreetMap API](http://wiki.openstreetmap.org/wiki/API_v0.6) - OpenStreetMap API.
* [Mapbox.js](https://www.mapbox.com/mapbox.js/api/v2.4.0/) - MapBox Javascript API.
* [Mapbox GL JS](https://www.mapbox.com/mapbox-gl-js/api/) - MapBox WebGL Javascript API.
## SaaS - Software as a Service
* [ArcGIS Online](https://www.arcgis.com/home/) - ArcGIS Online GIS platform for mapping ans spatial analysis.
* [CartoDB](https://cartodb.com/) - Cloud computing platform that provides GIS and web mapping tools for display in a web browser.
* [Mapbox](https://www.mapbox.com/) - Plataform for web map design and manipulation.
## DaaS - Data as a Service
* [Apple Maps](https://mapsconnect.apple.com/) - Apple map service.
* [Google Maps](https://www.google.com.br/maps) - Google map service.
* [Microsoft Bing Maps](http://www.bing.com/mapspreview) - Microsoft map service.
* [OpenStreetMap](http://www.openstreetmap.org/) - OpenStreeMap map service.
## Java
* [Geotools](http://www.geotools.org/) - GeoTools is an open source Java library that provides tools for geospatial data.
* [Geonetwork](http://geonetwork-opensource.org/) - GeoNetwork is a catalog application to manage spatially referenced resources.
* [JTS Topology Suite](http://www.vividsolutions.com/jts/jtshome.htm) - JTS Topology Suite is an API of 2D spatial predicates and functions.
* [GeOxygene](https://sourceforge.net/projects/oxygene-project/) - Provide an open framework which implements OGC/ISO specifications for the development and deployment of GIS applications.
* [Gisgraphy](http://www.gisgraphy.com/) - Open source framework that offers the ability to do geolocalisation and geocoding via Java APIs or REST webservices.
* [JGeocoder](http://jgeocoder.sourceforge.net/) - Free Java Geocoder.
* [Spatial4j](https://github.com/locationtech/spatial4j) - Spatial4j is a general purpose geospatial ASL licensed open-source Java library.
* [Geoapi](http://www.geoapi.org/) - GeoAPI provides a set of Java language programming interfaces for geospatial applications.
* [Openmap](https://github.com/openmap-java/openmap) - Open Source JavaBeans-based programmer's toolkit.
* [Apache SIS](http://sis.apache.org/) - Apache Spatial Information System (SIS) is a free software, Java language library for developing geospatial applications.
* [World Wind Java SDK](http://worldwind.arc.nasa.gov/java/) - Nasa cross-platform Java SDK.
## C Sharp
* [SharpMap](http://sharpmap.codeplex.com/) - SharpMap is an easy-to-use mapping library for use in web and desktop applications.
* [DotSpatial](https://dotspatial.codeplex.com/) - DotSpatial is a geographic information system library written for .NET 4.
* [NTS Net Topology Suite](https://github.com/NetTopologySuite/NetTopologySuite) - A .NET GIS solution that is fast and reliable for the .NET platform.
* [Geo](https://github.com/sibartlett/Geo) - A geospatial library for .NET
* [SharpKml](https://sharpkml.codeplex.com/) - Is able to read/write both KML files and KMZ files.
## C++
* [GEOS](https://trac.osgeo.org/geos/) - GEOS (Geometry Engine - Open Source) is a C++ port of the Java Topology Suite (JTS).
* [GDAL](http://www.gdal.org/) - Geospatial Data Abstraction Library (GDAL) is a computer library that serve as a translator library for raster and vector geospatial data formats.
* [Mapnik](http://mapnik.org/) - C++ library for rendering.
* [Terralib](http://www.terralib.org/) - TerraLib is a GIS classes and functions open source library.
* [Boost Geometry](http://www.boost.org/doc/libs/1_61_0/libs/geometry/doc/html/index.html) - Part of collection of the Boost C++ Libraries, defines concepts, primitives and algorithms for solving geometry problems.
* [Capaware](https://en.wikipedia.org/wiki/Capaware) - 3D terrain representation with multilayer representation.
* [libspatialindex](https://github.com/libspatialindex/libspatialindex) - C++ implementation of R*-tree, an MVR-tree and a TPR-tree with C API.
* [Spatial](https://sourceforge.net/projects/spatial/) - Spatial is a generic header-only C++ library providing multi-dimensional in-memory containers, iterators and functionals.
* [geojson-vt-cpp](https://github.com/mapbox/geojson-vt-cpp) - Port to C++ of JS GeoJSON-VT for slicing GeoJSON into vector tiles on the fly.
* [Supercluster](https://github.com/mapbox/supercluster.hpp) - A C++14 port of supercluster, a fast 2D point clustering library for use in interactive maps.
* [Mapbox GL Native](https://github.com/mapbox/mapbox-gl-native) - Render Mapbox styles in mobile, desktop, and node applications using C++ and OpenGL.
* [Mapzen Tangram-ES](https://github.com/tangrams/tangram-es) - C++ library for rendering 2D and 3D maps using OpenGL ES 2 with custom styling and interactions
* [Mapnik Vector Tile](https://github.com/mapbox/mapnik-vector-tile) - Mapnik C++ implemention of Mapbox Vector Tile specification.
* [Vector Tiles Producer](https://github.com/vross/vector-tiles-producer) - Command line tool in C++ to creates vector tiles for a given area at chosen zoom levels using a Mapnik XML.
* [libGeoTiff](https://trac.osgeo.org/geotiff/) - Manipulate TIFF based interchange format for georeferenced raster imagery.
* [Orfeo ToolBox](https://www.orfeo-toolbox.org/) - Orfeo TooLBox (OTB) is an open-source C++ library for remote sensing images processing, distributed under the CeCILL-v2 licence.
* [ITK](https://itk.org/) - ITK is an open-source, cross-platform system that provides developers with an extensive suite of software tools for image analysis.
* [RSGISLib](https://bitbucket.org/petebunting/rsgislib/src/bf7933996822?at=default) - The Remote Sensing and GIS software library (RSGISLib) is a collection of tools for processing remote sensing and GIS datasets. The tools are accessed using Python bindings or an XML interface.
## C
* [Shapefile C Library](http://shapelib.maptools.org/) - Provides the ability to write simple C programs for reading, writing and updating (to a limited extent) .shp and .dbf files.
* [Libuv](https://github.com/libuv/libuv) - Cross-platform asynchronous I/O.
* [Datamaps](https://github.com/ericfischer/datamaps) - This is a tool for indexing large lists of geographic points or lines and dynamically generating map tiles from the index for display.
## Ruby
* [Geokit](http://geokit.rubyforge.org/) - A Ruby gem & Rails plugin for easier map-based applications.
* [Rgeo](https://github.com/rgeo/rgeo) - RGeo is a geospatial data library for Ruby. It provides an implementation of the Open Geospatial Consortium's Simple Features Specification
* [Rgeo Shapefile](https://github.com/rgeo/rgeo-shapefile) - Optional module for RGeo for reading geospatial data from ESRI shapefiles.
* [Rgeo GeoJSON](https://github.com/rgeo/rgeo-geojson) - RGeo component for reading and writing GeoJSON.
* [ffi-geos](RGeo component for reading and writing GeoJSON) - Low-level ruby bindings to GEOS library.
* [PostGIS ActiveRecord Adapter](https://github.com/rgeo/activerecord-postgis-adapter) - ActiveRecord adapter for PostGIS.
* [SpatiaLite ActiveRecord Adapter](https://github.com/rgeo/activerecord-spatialite-adapter) - ActiveRecord adapter for Spatialite.
* [Mongoid Geospatial](https://github.com/nofxx/mongoid-geospatial) - A Mongoid Extension that simplifies the use of MongoDB spatial features.
* [Ruby Geocoder](http://www.rubygeocoder.com/) - Integration with geocoding services.
## CSS
* [CartoCSS](https://www.mapbox.com/tilemill/docs/manual/carto/) - TileMills language.
* [MapCSS](http://wiki.openstreetmap.org/wiki/MapCSS) - MapCSS is a CSS-like language for map stylesheets.
## Julia
* [RasterIO.jl](https://github.com/wkearn/RasterIO.jl) - Simple Raster Formats for Julia.
* [OpenStreetMaps.jl](https://github.com/tedsteiner/OpenStreetMap.jl) - This package provides basic functionality for parsing, viewing, and working with OpenStreetMap map data.
## R
* [sp](https://cran.r-project.org/web/packages/sp/index.html) - Classes and Methods for Spatial Data.
* [rgdal](https://cran.r-project.org/web/packages/rgdal/index.html) - Bindings for the Geospatial Data Abstraction Library.
* [raster](https://cran.r-project.org/web/packages/raster/raster.pdf) - Reading, writing, manipulating, analyzing and modeling of gridded spatial data.
* [ggplot2](http://ggplot2.org/) - ggplot2 is a plotting system for R.
* [ggmap](https://cran.r-project.org/web/packages/ggmap/index.html) - Spatial Visualization with ggplot2.
* [rgeos](https://cran.r-project.org/web/packages/rgeos/index.html) - Interface to Geometry Engine - Open Source (GEOS) using the C API for topology operations on geometries.
* [rgrass7](https://cran.r-project.org/web/packages/rgrass7/index.html) - Interface Between GRASS 7 GIS and R.
* [Rnetcdf](https://cran.r-project.org/web/packages/RNetCDF/index.html) - Interface to NetCDF Datasets.
* [RSAGA](https://cran.r-project.org/web/packages/RSAGA/index.html) - SAGA Geoprocessing and Terrain Analysis in R.
* [RODBC](https://cran.r-project.org/web/packages/RODBC/index.html) - ODBC Database Access.
* [RPyGeo](https://cran.r-project.org/web/packages/RPyGeo/index.html) - ArcGIS Geoprocessing in R via Python.
* [shapefiles](https://cran.r-project.org/web/packages/shapefiles/index.html) - Read and Write ESRI Shapefiles.
* [Rgooglemaps](https://cran.r-project.org/web/packages/RgoogleMaps/index.html) - Overlays on Google map tiles in R.
* [leafletR](https://cran.r-project.org/web/packages/leafletR/index.html) - Interactive Web-Maps Based on the Leaflet JavaScript Library.
* [maptools](https://cran.r-project.org/web/packages/maptools/index.html) - Tools for Reading and Handling Spatial Objects.
* [RArcInfo](https://cran.r-project.org/web/packages/RArcInfo/index.html) - Functions to import data from Arc/Info V7.x binary coverages.
* [Akima](https://cran.r-project.org/web/packages/akima/index.html) - Interpolation of Irregularly and Regularly Spaced Data.
* [maps](https://cran.r-project.org/web/packages/maps/index.html) - Draw Geographical Maps.
* [PBSmapping](https://cran.r-project.org/web/packages/PBSmapping/index.html) - Mapping Fisheries Data and Spatial Analysis Tools.
* [Landsat](https://cran.r-project.org/web/packages/landsat/index.html) - Radiometric and topographic correction of satellite imagery.
* [spatstat](https://cran.r-project.org/web/packages/spatstat/index.html) - Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests.
* [splancs](https://cran.r-project.org/web/packages/splancs/index.html) - Spatial and Space-Time Point Pattern Analysis.
* [plotKML](https://cran.r-project.org/web/packages/plotKML/index.html) - Visualization of Spatial and Spatio-Temporal Objects in Google Earth.
* [OpenStreetMap](https://cran.r-project.org/web/packages/OpenStreetMap/index.html) - Access to Open Street Map Raster Images.
* [GEOmap](https://cran.r-project.org/web/packages/GEOmap/index.html) - Topographic and Geologic Mapping.
* [rworldmap](https://cran.r-project.org/web/packages/rworldmap/index.html) - Mapping Global Data.
* [rasterVis](https://cran.r-project.org/web/packages/rasterVis/index.html) - Visualization Methods for Raster Data.
* [spdep](https://cran.r-project.org/web/packages/spdep/index.html) - Spatial Dependence: Weighting Schemes, Statistics and Models.
* [spacetime](https://cran.r-project.org/web/packages/spacetime/index.html) - Classes and Methods for Spatio-Temporal Data.
* [geoR](https://cran.r-project.org/web/packages/geoR/index.html) - Analysis of Geostatistical Data.
* [ecespa](https://cran.r-project.org/web/packages/ecespa/index.html) - Functions for Spatial Point Pattern Analysis.
* [mapproj](https://cran.r-project.org/web/packages/mapproj/index.html) - Map Projections.
* [gstat](https://cran.r-project.org/web/packages/gstat/index.html) - Spatio-Temporal Geostatistical Modelling, Prediction and Simulation.
* [intamap](https://cran.r-project.org/web/packages/intamap/index.html) - Procedures for automated interpolation.
## JavaScript
* [Heatmap.js](https://www.patrick-wied.at/static/heatmapjs/) - A heatmap implementation for Javascript.
* [Thermo.js](https://github.com/dazuma/thermo.js) - Another heatmap implementation for Javascript.
* [Heatcanvas.js](https://github.com/sunng87/heatcanvas) - Yet another heatmap implementation for Javascript.
## Node.js
* [Turf.js](http://turfjs.org/) - Advanced geospatial analysis for browsers and node.
* [JSTS](https://github.com/bjornharrtell/jsts) - Port of the Java JTS library.
* [Spatial](https://github.com/troufster/spatial) - A 2d spatial hash module for node.js.
* [PGRestAPI](https://github.com/spatialdev/PGRestAPI) - Node.js REST API for PostGres Spatial Entities.
* [Supercluster](https://github.com/mapbox/supercluster) - A crazy fast geospatial point clustering library for browsers and Node.
* [SQLite3](https://github.com/mapbox/node-sqlite3) - Asynchronous, non-blocking SQLite3 bindings for Node.js.
* [Windshaft](https://github.com/CartoDB/Windshaft) - A Node.js map tile library for PostGIS and torque.js, with CartoCSS styling.
## Mobile Development
* [Mapbox Android SDK](https://www.mapbox.com/android-sdk/) - An open source toolset for building mapping applications for Android devices.
* [Mapbox iOS SDK](https://www.mapbox.com/ios-sdk/) - An open source toolset for building mapping applications for iPhone and iPad devices.
* [Google Maps API for Android](https://developers.google.com/maps/android/) - Google maps for Android.
* [Google Maps API for iOS](https://developers.google.com/maps/ios/) - Google maps for iOS.
* [Nutiteq Maps SDK](http://www.nutiteq.com/nutiteq-sdk/overview/) - C++ maps library for iOS, Android, Windows Phone and Xamarin with bindings for Java, ObjectiveC and C#.
* [WhirlyGlobe/Maply](http://mousebird.github.io/WhirlyGlobe/) - Objective C code that is able to read and render vector tiles(and style with mapnik xml) on iOS devices.
## Visualization
* [Processing](https://processing.org/) - Processing is a flexible software sketchbook and a language for learning how to code within the context of the visual arts.
* [P5.js](https://p5js.org/) - Javascript library that starts with the original goal of Processing.
* [Processing.py](http://py.processing.org/) - Python mode for Processing.
* [D3.js](https://d3js.org/) - D3.js is a JavaScript library for manipulating documents based on data.
* [openFrameworks](http://openframeworks.cc/) - openFrameworks is an open source C++ toolkit for creative coding.
* [Folium](https://github.com/python-visualization/folium) - Python Data. Leaflet.js Maps.
* [Blender GIS](https://github.com/domlysz/BlenderGIS) - Blender addons to make the bridge between Blender and geographic data.
* [tippiecannoe](https://github.com/mapbox/tippecanoe) - Build vector tilesets from large collections of GeoJSON features.
* [Kosmtik](https://github.com/kosmtik/kosmtik) - Very lite but extendable mapping framework to create Mapnik ready maps with OpenStreetMap data (and more).
* [mplleaflet](https://github.com/jwass/mplleaflet) - Easily convert matplotlib plots from Python into interactive Leaflet web maps.
## Tools
* [TileMill](https://github.com/mapbox/tilemill) - TileMill is a modern map design studio powered by Node.js and Mapnik.
* [DataPillager](https://github.com/gdherbert/DataPillager) - Download data from Esri service.
* [Osm2pgsql](https://github.com/openstreetmap/osm2pgsql) - osm2pgsql is a tool for loading OpenStreetMap data into a PostgreSQL.
## Cheat sheets
* [Fiona-Rasterio-Shapely Cheat Sheet](https://github.com/sgillies/frs-cheat-sheet) - A cheat sheet for Fiona/Rasterio/Shapely command-line geodata tools.
* [GDAL](https://github.com/dwtkns/gdal-cheat-sheet) - Cheat sheet for GDAL/OGR command-line tools.
* [PostGIS](http://www.postgis.us/downloads/postgis21_cheatsheet.pdf) - Cheat sheet for PostGIS.
* [PostGIS 2](https://gist.github.com/kidpixo/5698476)
* [PostGIS Raster](http://www.postgis.us/downloads/postgis20_raster_cheatsheet.pdf)
## Data Sources
* [TZ Timezone Shapefiles](http://efele.net/maps/tz/world/) - Polygon boundaries of world timezones.
* [USGS Earth Explorer](http://earthexplorer.usgs.gov/) - Provides online search,metadata export, and data download for earth science data from the archives of the USGS.
* [GeoNames](www.geonames.org) - The GeoNames geographical database covers all countries and contains over eight million place names (cities, postal codes, countries) that are available for download free of charge.
* [Mapzen](https://mapzen.com/metro-extracts) - It provides data in OSM/PBF and Esri shapefile formats for popular cities.
* [Geofabrik](http://download.geofabrik.de/) - This is another source of prepared OpenStreetMap data. This distribution is generally built nightly and comes in OSM XML, pbf, and shapefile (for very popular areas) formats.
* [Natural Earth](www.naturalearthdata.com) - This site offers public domain map data sets that contain both raster and vector data.
* [ASTER Data](https://lpdaac.usgs.gov/dataset_discovery/aster) - Download ASTER data.
## Resources
* [Cartographical Map Projections](http://www.progonos.com/furuti/MapProj/Normal/TOC/cartTOC.html) - A good introduction to projected coordinate systems
* [Spatialreference.org](http://spatialreference.org/) - Source for coordinate system information.
* [ESRI Shapefile Specs](http://www.esri.com/library/whitepapers/pdfs/shapefile.pdf) - Shapefile specifications.
* [GeoJSON.io](http://geojson.io/) - geojson.io is a quick, simple tool for creating, viewing, and sharing maps.
## References
* [Essential Python Geospatial Libraries](http://carsonfarmer.com/2013/07/essential-python-geo-libraries/)
* [GeoJSON](https://github.com/tmcw/awesome-geojson)
* [Vector Tiles](https://github.com/mapbox/awesome-vector-tiles)
* [Awesome Spatial](https://github.com/RoboDonut/awesome-spatial/blob/master/README.md)
* [Awesome SQLite](https://github.com/planetopendata/awesome-sqlite)
* [Awesome Python](https://github.com/vinta/awesome-python/blob/master/README.md)
* [GeoRails](http://daniel-azuma.com/articles/georails/)
Reference in New Issue View Git Blame Copy Permalink