Utilizing ArcGIS Javascript API and ChatGPT for Efficient Geospatial Dashboard Development

Posted on by Nicholas Case

2:00 pm – 3:00 pm, Two Dot Room | Nicholas Case, University of Wyoming

Abstract:

In this presentation, we will explore an innovative approach to developing a geospatial web application that effectively combines the powerful capabilities of the ArcGIS Javascript API with the cutting-edge natural language processing model, ChatGPT, to enhance the development process. We will showcase how the application leverages geospatial visualization and AI-driven insights to create a user-friendly and adaptable dashboard for improved decision-making.

Throughout the presentation, we will highlight best practices, challenges faced, and the potential of combining AI-driven language models with geospatial tools during the development phase. We will discuss the integration of the ArcGIS Javascript API for creating dynamic, responsive maps and spatial analysis tools. Additionally, we will demonstrate how ChatGPT was employed during the development phase, assisting in tasks such as ideation, problem-solving, and documentation.

By leveraging ChatGPT, we have streamlined the development process and ensured a more efficient, user-centric design. Attendees will gain insights into the benefits of integrating AI technologies in the development process, empowering them to create more advanced and user-centric geospatial solutions.

Bio:

Nicholas Case has been an integral member of WyGISC since 2018, serving as a Geospatial Developer. He plays a key role in the EPSCoR Micro project’s Data Team, where he is responsible for developing and maintaining the Laboratory Inventory Management System (LIMS) to track samples from field collection to analysis. In addition to his work on the LIMS, Nicholas also contributes to the Wyoming Anticipating Climate Transitions (WyACT) project as a data team member, where he develops geospatial dashboards, data repositories, and provides overall assistance in managing project data.

Nicholas holds a Bachelor of Arts and Sciences in Anthropology from San Diego State University and an Associate of Science in Geography from San Diego Mesa College. He recently completed his Master’s degree in the GIST program, where he focused on learning advanced methods and technologies that enable researchers and decision-makers to extract valuable insights from complex data sets.