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What software tools are essential for a spatial analyst?

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Spatial analysis is the process of manipulating, extracting, and visualizing spatial data to reveal patterns, trends, and relationships. It is a key skill for many fields and applications, such as urban planning, environmental management, public health, and business intelligence. But what software tools do you need to perform spatial analysis effectively and efficiently? In this article, we will introduce some of the essential software tools for a spatial analyst, covering desktop, web, and programming platforms.

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Sandra Kozomara

Senior Project Engineer Customer Projects & Services
Milos Basaric

Geospatial Engineer | GIS & Remote Sensing Specialist | Military Geographical Institute | Geoinformatics PhD student
Ali Kashi

3D Mapping from the sky

1 Desktop GIS

Desktop GIS software is the most common and versatile tool for spatial analysis. It allows you to create, edit, store, and analyze spatial data in various formats, such as vector, raster, and tabular. You can also perform complex spatial operations, such as geoprocessing, spatial statistics, network analysis, and spatial modeling. Some of the popular desktop GIS software are ArcGIS, QGIS, GRASS GIS, and SAGA GIS. Each software has its own advantages and disadvantages, depending on your needs, budget, and preferences.

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Milos Basaric

Geospatial Engineer | GIS & Remote Sensing Specialist | Military Geographical Institute | Geoinformatics PhD student
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I don't want to list all possible software, but I notice that one somehow always gets left out, which I consider extremely useful, and we can call it the Swiss army knife for GIS. That's the software Global Mapper. Incredibly practical (once you get used to it, because a lot is done with right-click), but what I can confidently say is that I've saved a lot of time using Global Mapper, especially for tasks like working with rasters and exporting data. Often, my workflow is based on another software, but when that part of the process comes where I think I could use GM, I go to do that one step efficiently, then return to my original software. You must have this Swiss army knife in your pocket!

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Abdul Khaleq Al-Qasaily

GeoAI & Spatial Data Science Leader | 21+ Years in Geospatial Industry | International Project Manager | Global Business Development & Tech Sales Strategist | Business Mentor for Startups & Entrepreneurs
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Spatial analysts use a toolbox of software for geospatial analysis: -GIS Software: ArcGIS, QGIS, GRASS GIS (data processing, visualization, analysis) -Remote Sensing Software: ENVI, Erdas Imagine, .. -Statistical Software: R, Python (spatial statistics & analysis) -Database Management Systems: PostgreSQL (PostGIS), SQL Server (manage spatial data) -Visualization & Mapping: Illustrator, Tableau, Carto (create maps & visualizations) -Open-Source Resources: GDAL, GeoPandas, Shapely (tools & libraries for development) -Data Visualization Tools: Matplotlib, Seaborn, D3.js, Power BI (create visual representations) These tools empower spatial analysts to manage, analyze, visualize, and model spatial data .

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Ali Kashi

3D Mapping from the sky
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Essential software tools for a spatial analyst in Desktop GIS include the Spatial Analyst toolbox in ArcGIS Pro, offering various functionalities for raster and vector data analysis. Additional tools like Tableau, Power BI, D3.js, and Plotly aid in data visualization. ERDAS Imagine and QGIS are valuable for remote sensing analysis and geospatial data authoring. These tools enable tasks such as terrain modeling, spatial pattern discovery, hydrologic analysis, and statistical analysis.

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2 Web GIS

Web GIS software is the tool for creating, sharing, and accessing spatial data and analysis online. It enables you to publish your spatial data and maps on the web, and interact with them through browsers and mobile devices. You can also use web GIS software to perform some spatial analysis functions, such as spatial queries, overlays, and buffers. Some of the popular web GIS software are ArcGIS Online, Google Maps, Carto, and Mapbox. Web GIS software can enhance the accessibility, usability, and collaboration of your spatial data and analysis.

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Ali Kashi

3D Mapping from the sky
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Cesium is a preferred web GIS solution due to its capabilities in creating 3D web mapping applications efficiently. It offers advantages like open-source support, a large active community, and fast transmission of 3D-Tiles. Cesium's WebGL-based platform allows for visualizing 2D, 3D, and 4D spatiotemporal data effectively without browser plugins. While it may face performance issues with large 3D city models, it excels in GeoJSON data visualization and provides efficient tools for data representation and management

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Ian Kennedy

Data Scientist @ JBREC | Exploring the Housing & GIS Nexus
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The role of Web GIS platforms like ArcGIS Online (AGOL), Tableau, Carto, and Mapbox extends beyond data presentation; these tools serve as links between spatial data and the various user groups who interact with and/or process the underlying data The public-facing aspect of these tools democratizes data, making complex geographic information comprehensible and accessible to a broad audience, not just GIS professionals. Additionally, the inherent inclusivity that is provided fosters a collaborative environment where stakeholders from different sectors can convene, share insights, and solve problems together.

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3 Programming languages

Programming languages are the tools for automating, customizing, and extending your spatial analysis capabilities. They allow you to write scripts and codes that can perform spatial analysis tasks faster, more accurately, and more flexibly than using desktop or web GIS software alone. You can also use programming languages to integrate different spatial data sources, formats, and platforms. Some of the popular programming languages for spatial analysis are Python, R, SQL, and JavaScript. Each language has its own libraries and frameworks that support spatial analysis functions, such as GDAL, PySAL, sf, and Leaflet.

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4 Data visualization tools

Data visualization tools are the tools for presenting and communicating your spatial data and analysis results in an effective and appealing way. They allow you to create charts, graphs, dashboards, and stories that can highlight the spatial patterns, trends, and relationships in your data. You can also use data visualization tools to explore and interact with your data, and gain insights and feedback. Some of the popular data visualization tools for spatial analysis are Tableau, Power BI, D3.js, and Plotly. Data visualization tools can complement your spatial analysis tools by enhancing the visual impact and clarity of your data and analysis.

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5 Spatial databases

Spatial databases are the tools for storing, managing, and querying large and complex spatial data. They allow you to organize your spatial data in a structured and efficient way, and perform spatial operations and analysis using SQL commands. You can also use spatial databases to connect and exchange your spatial data with other software tools, such as desktop GIS, web GIS, and programming languages. Some of the popular spatial databases for spatial analysis are PostgreSQL, MySQL, Oracle, and MongoDB. Spatial databases can improve the performance, scalability, and security of your spatial data and analysis.

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Sandra Kozomara

Senior Project Engineer Customer Projects & Services
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In my view and practice, spatial databases are the most essential tool for spatial data analytics. There are three main reasons for this. Firstly, spatial databases enable data integration with other spatial or non-spatial data, creating a Location DWH refreshed regularly. Secondly, they allow for complex analytics using not only SQL but also stored procedures. Finally, spatial databases can handle very large datasets and enrich them, such as millions of addresses. In my experience, typical GIS tools are best used for ad-hoc data analytics and for visualization of spatial data enriched through DB data integration. This is why my core GIS team members were DB engineers upskilled for spatial analytics and GIS tools.

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6 Cloud computing services

Cloud computing services are the tools for accessing and using spatial data and analysis resources on the internet, rather than on your local computer. They allow you to store, process, and analyze large and complex spatial data using remote servers and networks. You can also use cloud computing services to deploy and run your spatial analysis applications and models on the web, and access them from anywhere and anytime. Some of the popular cloud computing services for spatial analysis are Amazon Web Services, Google Cloud Platform, Microsoft Azure, and IBM Cloud. Cloud computing services can offer you more flexibility, reliability, and affordability for your spatial data and analysis.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What software tools are essential for a spatial analyst?

1

2

3

4

5

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1 Desktop GIS

2 Web GIS

3 Programming languages

4 Data visualization tools

5 Spatial databases

6 Cloud computing services

7 Here’s what else to consider

Geographic Information Systems (GIS)

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What software tools are essential for a spatial analyst?

1

2

3

4

5

6

7

1 Desktop GIS

2 Web GIS

3 Programming languages

4 Data visualization tools

5 Spatial databases

6 Cloud computing services

7 Here’s what else to consider

Geographic Information Systems (GIS)

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