March 29, 2024
Updated May 12, 2025
20 minute read
A Geographic Information Systems (GIS) Developer is a specialized software developer who designs, creates, and maintains applications and tools that utilize geospatial data. Essentially, they build the software that helps us understand and interact with location-based information. This field involves using the principles of geography and the power of technology to solve complex problems and provide valuable insights across a multitude of industries.
Working as a GIS Developer can be engaging due to the diverse range of projects and the tangible impact of the work. Imagine creating an interactive map that helps farmers identify the best locations for planting based on soil quality and water access, or developing an application that allows utility workers to capture and validate real-time data in the field. Furthermore, the field is constantly evolving with advancements in areas like artificial intelligence and cloud computing, offering continuous learning and innovation opportunities.
Introduction to GIS Development
This article aims to provide a comprehensive overview of the GIS Developer career path. We will explore the core responsibilities, necessary skills, educational routes, and career progression. Whether you are a student considering your options, a professional contemplating a career shift, or simply curious about this dynamic field, this guide will offer valuable information to help you determine if becoming a GIS Developer is the right journey for you.
What Exactly is a GIS Developer?
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Find a path to becoming a GIS Developer. Learn more at:
OpenCourser.com/career/mjspen/gis
Reading list
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Provides a comprehensive overview of GIS, covering its history, concepts, applications, and future directions. It is suitable for those who want to gain a deep understanding of the theoretical foundations and practical applications of GIS.
Is widely regarded as the definitive guide to PostGIS. It provides a comprehensive introduction to spatial databases and covers vector, raster, and topology spatial types and functions. It is an excellent resource for gaining a broad understanding and is frequently used as a reference by both students and professionals. This edition is updated to cover recent PostGIS and PostgreSQL features, making it highly relevant for contemporary topics.
Provides a comprehensive overview of the fundamental principles of GIS, covering topics such as data models, spatial analysis, and visualization. It is suitable for those who want to gain a solid understanding of the theoretical foundations of GIS.
A practical guide to using PostGIS to manage and analyze geospatial data, with hands-on exercises and real-world examples.
Published recently, this book focuses specifically on Spatial SQL, which is the core language for interacting with PostGIS. It's highly relevant for anyone wanting to deepen their understanding of querying and manipulating spatial data within a database context. While not solely about PostGIS, its direct relevance to the practical application of spatial databases makes it a valuable resource for all levels.
This workbook focuses on spatial analysis techniques in GIS, providing hands-on exercises and case studies. It is particularly relevant for those interested in using GIS for problem-solving and decision-making.
Provides a comprehensive guide to Python scripting in ArcGIS, covering topics such as data manipulation, geoprocessing, and automation. It is suitable for those who want to enhance their GIS skills with Python.
Focuses on the use of GIS in crime mapping and analysis, covering topics such as crime data collection, spatial analysis, and visualization. It is suitable for those interested in using GIS for crime prevention and law enforcement.
Comprehensive guide to using QGIS. It covers everything from basic concepts to advanced techniques. It great resource for anyone who wants to learn more about QGIS or who wants to use it for their own projects.
This Spanish-language book focuses on advanced spatial analysis with PostGIS. It's suitable for users who have a foundational understanding and wish to explore more complex analytical capabilities. Its focus on advanced topics makes it relevant for graduate students and working professionals.
Covers the use of R for spatial data analysis in ecology and agriculture, providing a comprehensive overview of R packages and techniques for data manipulation, visualization, and modeling. It is suitable for those who want to explore the use of R in GIS for ecological and agricultural applications.
This French-language book offers a comprehensive guide to building a GIS based on PostGIS. It covers recent versions of PostGIS and PostgreSQL, making it relevant for contemporary practices. It's a good resource for those who prefer learning in French and provides a solid foundation for using PostGIS in a GIS context.
A guide to using PostGIS and QGIS together for geospatial analysis, covering topics such as data import, data visualization, and spatial modeling.
Collection of recipes that show you how to use Python to automate tasks in QGIS. It great resource for anyone who wants to learn more about Python programming or who wants to automate their GIS workflows.
Provides a comprehensive overview of the ArcGIS Desktop platform, covering its core concepts, tools, and applications. It is suitable for beginners who want to gain a solid foundation in GIS.
Aims to help users master the full range of PostGIS functionalities, from data management to analysis and integration with web technologies. It covers modern approaches to working with spatial data in PostGIS and is suitable for developers and analysts.
Covers the use of R for geospatial analysis, providing a comprehensive overview of R packages and techniques for data manipulation, visualization, and modeling. It is suitable for those who want to explore the use of R in GIS.
Provides a comprehensive overview of GIS technology, covering its components, functions, and applications. It is suitable for those who want to gain a general understanding of how GIS works and how it can be used in various fields.
A practical guide to using PostGIS for health-related applications, such as disease mapping and spatial analysis of health data.
Step-by-step guide to using QGIS. It covers a wide range of topics, from basic concepts to advanced techniques. It great resource for anyone who wants to learn more about QGIS or who wants to use it for their own projects.
This edition of the PostGIS Cookbook is specifically aimed at web developers and software architects, highlighting the use of PostGIS in web applications. It's a practical guide with recipes relevant to integrating PostGIS into a web development workflow.
The second edition of the widely acclaimed 'PostGIS in Action'. While superseded by the third edition in terms of the latest PostGIS features, this book is still a valuable resource for understanding the core concepts and capabilities of PostGIS up to versions 2.x. It can be useful as supplementary reading or a more affordable option for gaining a solid foundation.
This course title clearly outlines an introduction to spatial databases using PostGIS and QGIS. Books that cover the basics of spatial database concepts, how to set up and use PostGIS, and how to connect and visualize PostGIS data in QGIS would be ideal for beginners and those new to spatial databases. It emphasizes foundational knowledge.
Another foundational book on spatial databases, this text provides a theoretical and technical deep dive into the subject. It covers spatial data models, query languages, and indexing techniques. While published earlier, it offers a strong academic perspective valuable for graduate students and researchers.
For more information about how these books relate to this course, visit:
OpenCourser.com/career/mjspen/gis
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