Opensource and Paid GIS Software for Mapping Visualisation and Analytics

These tools cover a wide spectrum of needs, from creating and analyzing maps to visualizing data and performing spatial analytics, making them valuable resources for professionals in GIS, web development, and data analytics across various domains and industries.

Proprietary GIS Mapping Tools:

1. ArcGIS: Esri’s ArcGIS is a comprehensive GIS platform with a wide range of tools for mapping, spatial analysis, and data visualization.
2. MapInfo Professional: A desktop GIS application for mapping and spatial data analysis.
3. QGIS (formerly Quantum GIS): While primarily open source, there is also a commercial version of QGIS called QGIS Pro with additional features and support.
4. Global Mapper: A powerful GIS software that provides mapping, spatial data conversion, and analysis capabilities.
5. AutoCAD Map 3D: Autodesk’s GIS and mapping software for design and data management.

Open Source GIS Mapping Tools:

1. QGIS: The open-source version of QGIS is a popular choice for mapping, data analysis, and geospatial modeling.
2. GRASS GIS: A comprehensive open-source GIS software package known for its advanced geospatial analysis capabilities.
3. SAGA GIS: A free and open-source GIS software with a focus on terrain analysis and geoscientific applications.
4. Mapbox: Offers a range of mapping and location-based services, including Mapbox Studio for custom map design.

Proprietary Web Visualization Tools:

1. Tableau: While not strictly a GIS tool, Tableau is widely used for creating interactive data visualizations, including maps.
2. Power BI: Microsoft’s business intelligence platform includes mapping and geospatial visualization capabilities.
3. Carto: A platform for location intelligence, offering tools for map creation, analysis, and visualization.
4. Google Maps Platform: Offers various tools and APIs for web-based mapping and location services.

Open Source Web Visualization Tools:

1. Leaflet: A popular JavaScript library for creating interactive maps on websites and web applications.
2. OpenLayers: An open-source JavaScript library for creating web-based maps with support for various data sources.
3. CesiumJS: A JavaScript library for creating 3D globes and maps with a focus on geospatial data visualization.
4. Mapbox GL JS: A JavaScript library for creating interactive and customizable maps using Mapbox technology.

Data Analytics Tools (Proprietary and Open Source):

1. Python with GeoPandas: Python is a versatile programming language for geospatial data analysis, and GeoPandas is a library for working with geospatial data in Python.
2. R with sf: R is another powerful programming language for data analytics, and the ‘sf’ package provides support for spatial data in R.
3. PostGIS: An extension for PostgreSQL that adds support for geographic objects, enabling spatial data analysis.
4. Hadoop and Spark: Big data frameworks like Apache Hadoop and Apache Spark can be used for geospatial data processing and analysis at scale.
5. KNIME: An open-source data analytics platform that includes geospatial data processing and visualization capabilities.

These tools cater to various aspects of GIS mapping, web visualization, and data analytics, allowing users to choose the most suitable options based on their specific needs and preferences.