Geospatial Data Science: A Hands-On Approach for Building Geospatial Applications Using Linked Data Technologies
Manolis Koubarakis, "Geospatial Data Science: A Hands-On Approach for Building Geospatial Applications Using Linked Data Technologies "
English | ASIN : B0CB8FYXMZ | 2023 | 364 pages | EPUB | 5 MB
English | ASIN : B0CB8FYXMZ | 2023 | 364 pages | EPUB | 5 MB
This introductory textbook teaches the simple development of geospatial applications based on the principles and software tools of geospatial data science. It introduces a new generation of geospatial technologies that have emerged from the development of the Semantic Web and the linked data paradigm, and shows how data scientists can use them to build environmental applications easily.
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.
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