This Reprint, based on the Special Issue "Feature Papers for "Land Innovations-Data and Machine Learning" Section: 3rd Edition", makes valuable contributions relating to spatial data science for obtaining, processing, analyzing, harnessing, and visualizing social, economic, environmental, and other land-related data. In particular, this Reprint presents geospatial artificial intelligence and machine learning techniques for dealing with spatial big data, including remotely sensed and social media data. The publications included are theoretical, applied, or review articles; interdisciplinary studies are also featured.
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Hardcover. Condition: new. Hardcover. This Reprint, based on the Special Issue "Feature Papers for "Land Innovations-Data and Machine Learning" Section: 3rd Edition", makes valuable contributions relating to spatial data science for obtaining, processing, analyzing, harnessing, and visualizing social, economic, environmental, and other land-related data. In particular, this Reprint presents geospatial artificial intelligence and machine learning techniques for dealing with spatial big data, including remotely sensed and social media data. The publications included are theoretical, applied, or review articles; interdisciplinary studies are also featured. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783725890170
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Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. This Reprint, based on the Special Issue "Feature Papers for "Land Innovations-Data and Machine Learning" Section: 3rd Edition", makes valuable contributions relating to spatial data science for obtaining, processing, analyzing, harnessing, and visualizing social, economic, environmental, and other land-related data. In particular, this Reprint presents geospatial artificial intelligence and machine learning techniques for dealing with spatial big data, including remotely sensed and social media data. The publications included are theoretical, applied, or review articles; interdisciplinary studies are also featured. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9783725890170
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Hardcover. Condition: new. Hardcover. This Reprint, based on the Special Issue "Feature Papers for "Land Innovations-Data and Machine Learning" Section: 3rd Edition", makes valuable contributions relating to spatial data science for obtaining, processing, analyzing, harnessing, and visualizing social, economic, environmental, and other land-related data. In particular, this Reprint presents geospatial artificial intelligence and machine learning techniques for dealing with spatial big data, including remotely sensed and social media data. The publications included are theoretical, applied, or review articles; interdisciplinary studies are also featured. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9783725890170
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Reprint, based on the Special Issue 'Feature Papers for 'Land Innovations-Data and Machine Learning' Section: 3rd Edition', makes valuable contributions relating to spatial data science for obtaining, processing, analyzing, harnessing, and visualizing social, economic, environmental, and other land-related data. In particular, this Reprint presents geospatial artificial intelligence and machine learning techniques for dealing with spatial big data, including remotely sensed and social media data. The publications included are theoretical, applied, or review articles; interdisciplinary studies are also featured. Seller Inventory # 9783725890170
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Feature Papers for "Land Innovations-Data and Machine Learning" Section | 3rd Edition | Buch | Englisch | 2026 | MDPI AG | EAN 9783725890170 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 138181447