
Geospatial Data Science: A Hands-on Approach for Building Geospatial Applications Using Linked Data Technologies
- geospatial applications
- Categories:Computers & Internet
- Language:English(Translation Services Available)
- Publication date:June,2023
- Pages:364
- Retail Price:(Unknown)
- Size:(Unknown)
- Publication Place:United States
- Words:(Unknown)
- Star Ratings:
- Text Color:Black and white
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Description
Geospatial data science is the science of collecting, organizing, analyzing, and visualizing geospatial data. Since around 2010, there has been extensive work in the area of geospatial data science using semantic technologies and linked data, from researchers in the areas of the Semantic Web, Geospatial Databases and Geoinformatics. The main results of this research have been the publication of the OGC standard GeoSPARQL and the implementation of a number of linked data tools supporting this standard. Up to now, there has been no textbook that enables someone to teach this material to undergraduate or graduate students.
The material of the book is developed in a tutorial style and it is appropriate for an introductory course on the subject. This can be an advanced undergraduate course or a graduate course offered by Computer Science or GIS faculty. It is a hands-on approach and every chapter contains exercises that help students master the material.