analytics

Avoiding Wrong Decisions in Geospatial Analytics: Best Practices and Methodologies

Abstract Geospatial analytics has become an essential tool for decision-making across various sectors, including urban planning, agriculture, environmental monitoring, and disaster management. However, the complexity of geospatial data and the analytical methods used can lead to errors and misinterpretations, resulting in wrong decisions. This paper outlines a comprehensive framework to avoid making incorrect decisions in geospatial analytics by addressing key aspects such as problem definition, data quality, validation, multiple perspectives, expert consultation, and continuous monitoring. By following these best practices, practitioners can enhance the accuracy and reliability of their geospatial analyses and make more informed decisions. Introduction Geospatial analytics involves […]

Avoiding Wrong Decisions in Geospatial Analytics: Best Practices and Methodologies Read More »

Top five trends in GIS technology

According to Dangermond, the top five trends in GIS technology today are as follows: Location as a service Advanced analytics Big data analytics Real-time GIS Mobility Dangermond continues: “The last leap in computing was the shift from the server to the cloud. Software as a service (SaaS) opened a world of opportunities for GIS, as shared map services like the World Imagery basemap are no longer separate from the unique services offered to users. GIS users can share data, collaborate, make mashup maps in the server, and then connect to the cloud. The next leap in GIS technology and computing

Top five trends in GIS technology Read More »

Scroll to Top