Practitioner’s Guide to Geospatial Analytics No-Code Approach

This guide serves as a comprehensive resource for practitioners interested in geospatial analytics using a no-code approach. It begins by discussing the advancements driving the geospatial analytics market, such as 5G infrastructure and AI-supported tools, predicting a growth rate of 12.5% from 2022 to 2032. The document outlines the importance of geospatial data in various business applications, including site selection and supply chain optimization. The guide highlights the collaboration between Harvard's Center for Geographic Analysis and KNIME to facilitate non-expert users in leveraging geospatial data without requiring deep coding skills. It introduces key concepts such as latitude and longitude, various data formats including GeoJSON and Shapefiles, and different types of coordinate reference systems. Additionally, the guide details the process of using KNIME Analytics Platform for geospatial analysis, including installation steps, data retrieval methods, and reading and writing geospatial files. The text is designed to empower users to effectively utilize geospatial analytics in their work.