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unique characteristics of geospatial data, demonstrate the need to different approaches and techniques for obtaining new knowledge from raw;
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applications based around maps and geospatial data using Python 3.x * Install and use various toolkits and obtain geospatial data for use in your;
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intelligence it can provide to their models. This book demonstrates effective techniques for using the power of data science and geospatial;
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, SMOS, SMAP and GCOM in combination with GIS, artificial intelligence, and hybrid techniques. By linking geospatial techniques with new;
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Geospatial computing includes utilizing computing devices and sensors to acquire, process, analyze, manage, and visualize geospatial data;
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This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various;
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conversion, data management, web maps, and REST API creation. Learn techniques related to processing geospatial data in the cloud. Leverage features;
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research utilizing social media and geospatial big data. It describes various forms of social media and big data with location information, theory;
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-increasing amounts of heterogeneous geospatial data, an issue that poses new challenges and opportunities. As these rich sources of data are made;
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Geospatial Information is spatial data concerning a place or, in space, collected in real time. Geospatial techniques together with remote;
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information data, such as remote sensing, geographic information systems (GIS), and GPS as well as their integration into landscape-scale geospatial;
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Geospatial health data are essential to inform public health and policy. These data can be used to quantify disease burden, understand;
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sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and;
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information data, such as remote sensing, geographic information systems (GIS), and GPS as well as their integration into landscape-scale geospatial;
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Geographic Information Science (GIScience) is the knowledgebase that supports the exploration and analysis of geospatial data;
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to support various problem-solving and decision-making techniques. Emerging Technologies and Applications in Data Processing and;
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A variety of disciplines and professions have embraced geospatial technologies for collecting, storing, manipulating, analyzing and;
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Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent;
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The federal government collects, maintains, and uses geospatial information -- data linked to specific geographic locations -- to help;
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Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent;
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. Experienced Python developers who want to learn about geospatial concepts, work with geospatial data, solve spatial problems, and build map-based;
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> Includes rarely discussed concepts of citing and referencing maps and geospatial data, fair use and copyright Creates an;
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strategic role of geospatial Web services in a distributed heterogeneous environment and the life cycle of geospatial Web services for building;
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interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and;
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