Overview

What is Geospatial Analysis?

Geospatial analysis is the process of analyzing and interpreting data that has a geographic component. It involves studying maps, satellite imagery, and other spatial data to uncover patterns and insights related to specific locations. It helps in understanding how location impacts various phenomena and supports decision-making in fields like urban planning, environmental management, and disaster response.

What's available on DAS-GAE?

Software	Summary	Ease of Use
ArcGIS Pro	ArcGIS Pro is a professional GIS software that provides advanced geospatial analysis tools, visualization capabilities, and data management features. $Note: This product requires a licence. Ideal for: Geospatial Analysis, Static Map Creation	Easy +
QGIS	QGIS (Quantum GIS) is an open-source GIS software that offers extensive geospatial analysis tools, including spatial query, analysis, and mapping functions. Ideal for: Geospatial Analysis, Static Map Creation	Easy +
ArcGIS Enterprise	ArcGIS Enterprise is a complete GIS portal, providing a web-based infrastructure for hosting and sharing GIS services and applications. Simple analysis can also be done in the portal. Usually, eEnterprise/Portal is used conjunction with ArcGIS Pro. $Note: This product has a license recovery fee Ideal for: Basic Analysis, Web-Maps, Building Apps	Easy +
ArcGIS Insights	ArcGIS Insights is a data analytics software that integrates spatial and non-spatial data for exploratory analysis, data visualization, and advanced analytics. $Note: This product has a license recovery fee. Ideal for: Geospatial Analysis	Moderate +
VSCode	VSCode (Visual Studio Code) is a code editor that supports various programming languages and geospatial data. A good option for development of Scripts, Models and Machine learning methods. Ideal for: Analysis by code, Models, Integration	Moderate +
PyCharm	PyCharm is an integrated development environment (IDE) specifically designed for Python, offering tools for coding, debugging, and working with geospatial libraries. A good option for development of Python Scripts and re-usable Models. Ideal for: Analysis by code, Models, Integration	Moderate +
Jupyter Notebooks	Jupyter Notebooks provide an interactive computing environment for creating and sharing documents that combine code, visualizations, and narrative text. Notebooks are a great option for 'new' coders. Ideal for: Analysis by code, Models, Integration	Easy +
Databricks	Databricks is a unified analytics platform that enables collaborative and scalable data processing and analysis, including geospatial data exploration and workflows. This feature is still being explored and therefore may have limited functionality at this time. Ideal for: Analysis by code, Complex Models, Distributed Processing	Moderate +
PostgreSQL+PostGIS	PostGIS (extension for PostgreSQL), enables you to perform spatial queries, geometric operations, spatial joins, and network analysis, making it a robust tool for geospatial analysis tasks. **Ideal for: Advanced analysis, processing and storage **	Moderate +
Miniforge	Miniforge is a Python package manager and lightweight distribution focused on scientific computing and data analysis. Ideal for: Python package/environment management	Easy +