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Targeting those charged with launching or implementing a geographic information system for their organization, this book details a practical method for planning a GIS proven successful in public and private sector organizations.
Book Synopsis Thinking about GIS by : Roger F. Tomlinson
Download or read book Thinking about GIS written by Roger F. Tomlinson and published by ESRI, Inc.. This book was released on 2007 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Targeting those charged with launching or implementing a geographic information system for their organization, this book details a practical method for planning a GIS proven successful in public and private sector organizations.
This book is a collection of seminal position essays by leading researchers on new development in Geographic Information Sciences (GIScience), covering a wide range of topics and representing a variety of perspectives. The authors propose enrichments and extensions to the conceptual framework of GIScience; discuss a series of transformational methodologies and technologies for analysis and modeling; elaborate on key issues in innovative approaches to data acquisition and integration, across earth sensing to social sensing; and outline frontiers in application domains, spanning from natural science to humanities and social science, e.g., urban science, land use and planning, social governance, transportation, crime, and public health, just name a few. The book provides an overview of the strategic directions on GIScience research and development. It will benefit researchers and practitioners in the field who are seeking a high-level reference regarding those directions.
Book Synopsis New Thinking in GIScience by : Bin Li
Download or read book New Thinking in GIScience written by Bin Li and published by Springer Nature. This book was released on 2022-06-30 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of seminal position essays by leading researchers on new development in Geographic Information Sciences (GIScience), covering a wide range of topics and representing a variety of perspectives. The authors propose enrichments and extensions to the conceptual framework of GIScience; discuss a series of transformational methodologies and technologies for analysis and modeling; elaborate on key issues in innovative approaches to data acquisition and integration, across earth sensing to social sensing; and outline frontiers in application domains, spanning from natural science to humanities and social science, e.g., urban science, land use and planning, social governance, transportation, crime, and public health, just name a few. The book provides an overview of the strategic directions on GIScience research and development. It will benefit researchers and practitioners in the field who are seeking a high-level reference regarding those directions.
Learning to Think Spatially examines how spatial thinking might be incorporated into existing standards-based instruction across the school curriculum. Spatial thinking must be recognized as a fundamental part of Kâ€"12 education and as an integrator and a facilitator for problem solving across the curriculum. With advances in computing technologies and the increasing availability of geospatial data, spatial thinking will play a significant role in the information-based economy of the twenty-first century. Using appropriately designed support systems tailored to the Kâ€"12 context, spatial thinking can be taught formally to all students. A geographic information system (GIS) offers one example of a high-technology support system that can enable students and teachers to practice and apply spatial thinking in many areas of the curriculum.
Book Synopsis Learning to Think Spatially by : National Research Council
Download or read book Learning to Think Spatially written by National Research Council and published by National Academies Press. This book was released on 2005-02-03 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning to Think Spatially examines how spatial thinking might be incorporated into existing standards-based instruction across the school curriculum. Spatial thinking must be recognized as a fundamental part of Kâ€"12 education and as an integrator and a facilitator for problem solving across the curriculum. With advances in computing technologies and the increasing availability of geospatial data, spatial thinking will play a significant role in the information-based economy of the twenty-first century. Using appropriately designed support systems tailored to the Kâ€"12 context, spatial thinking can be taught formally to all students. A geographic information system (GIS) offers one example of a high-technology support system that can enable students and teachers to practice and apply spatial thinking in many areas of the curriculum.
Spatial Thinking in Environmental Contexts: Maps, Archives, and Timelines cultivates the spatial thinking "habit of mind" as a critical geographical view of how the world works, including how environmental systems function, and how we can approach and solve environmental problems using maps, archives, and timelines. The work explains why spatial thinking matters as it helps readers to integrate a variety of methods to describe and analyze spatial/temporal events and phenomena in disparate environmental contexts. It weaves together maps, GIS, timelines, and storytelling as important strategies in examining concepts and procedures in analyzing real-world data and relationships. The work thus adds significant value to qualitative and quantitative research in environmental (and related) sciences. Features Written by internationally renowned experts known for taking complex ideas and finding accessible ways to more broadly understand and communicate them. Includes real-world studies explaining the merging of disparate data in a sensible manner, understandable across several disciplines. Unique approach to spatial thinking involving animated maps, 3D maps, GEOMATs, and story maps to integrate maps, archives, and timelines—first across a single environmental example and then through varied examples. Merges spatial and temporal views on a broad range of environmental issues from traditional environmental topics to more unusual ones involving urban studies, medicine, municipal/governmental application, and citizen-scientist topics. Provides easy to follow step-by-step instructions to complete tasks; no prior experience in data processing is needed.
Book Synopsis Spatial Thinking in Environmental Contexts by : Sandra Lach Arlinghaus
Download or read book Spatial Thinking in Environmental Contexts written by Sandra Lach Arlinghaus and published by CRC Press. This book was released on 2019-07-11 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial Thinking in Environmental Contexts: Maps, Archives, and Timelines cultivates the spatial thinking "habit of mind" as a critical geographical view of how the world works, including how environmental systems function, and how we can approach and solve environmental problems using maps, archives, and timelines. The work explains why spatial thinking matters as it helps readers to integrate a variety of methods to describe and analyze spatial/temporal events and phenomena in disparate environmental contexts. It weaves together maps, GIS, timelines, and storytelling as important strategies in examining concepts and procedures in analyzing real-world data and relationships. The work thus adds significant value to qualitative and quantitative research in environmental (and related) sciences. Features Written by internationally renowned experts known for taking complex ideas and finding accessible ways to more broadly understand and communicate them. Includes real-world studies explaining the merging of disparate data in a sensible manner, understandable across several disciplines. Unique approach to spatial thinking involving animated maps, 3D maps, GEOMATs, and story maps to integrate maps, archives, and timelines—first across a single environmental example and then through varied examples. Merges spatial and temporal views on a broad range of environmental issues from traditional environmental topics to more unusual ones involving urban studies, medicine, municipal/governmental application, and citizen-scientist topics. Provides easy to follow step-by-step instructions to complete tasks; no prior experience in data processing is needed.
Download or read book GIS Fundamentals written by Paul Bolstad and published by . This book was released on 2005 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Includes an entirely new chapter on AI and GIS, including ontologies and the Semantic Web, knowledge representation (KR) and spatial reasoning, machine learning and spatial analysis, and neural networks and deep learning. Presents new material reflecting the advances made in cloud computing, stream computing, and sensor networks, as well as extensively revised and updated content on cartography, visualization, and interaction design. Connects the technology to the social aspects and implications of GIS, including privacy and fair information practices, FATE (fairness, accountability, transparency, and ethics), and codes of conduct for responsible use of GIS. Integrates the necessary background to foundational areas, such as databases and data structures, algorithms and indexes, system architecture and AI, provided in context so readers new to those topics can still understand the concepts being discussed. Incorporates over 20 carefully explained spatial algorithms; over 60 inset boxes with in-depth material that enriches the central topics; and more than 300 color figures to support the reader in mastering key concepts. Welcomes a new coauthor, Qian (Chayn) Sun, to the third edition who brings her expertise in topics such as web mapping, cloud computing, critical geography, and machine learning with big spatial data.
Book Synopsis GIS by : Matt Duckham
Download or read book GIS written by Matt Duckham and published by CRC Press. This book was released on 2023-07-30 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes an entirely new chapter on AI and GIS, including ontologies and the Semantic Web, knowledge representation (KR) and spatial reasoning, machine learning and spatial analysis, and neural networks and deep learning. Presents new material reflecting the advances made in cloud computing, stream computing, and sensor networks, as well as extensively revised and updated content on cartography, visualization, and interaction design. Connects the technology to the social aspects and implications of GIS, including privacy and fair information practices, FATE (fairness, accountability, transparency, and ethics), and codes of conduct for responsible use of GIS. Integrates the necessary background to foundational areas, such as databases and data structures, algorithms and indexes, system architecture and AI, provided in context so readers new to those topics can still understand the concepts being discussed. Incorporates over 20 carefully explained spatial algorithms; over 60 inset boxes with in-depth material that enriches the central topics; and more than 300 color figures to support the reader in mastering key concepts. Welcomes a new coauthor, Qian (Chayn) Sun, to the third edition who brings her expertise in topics such as web mapping, cloud computing, critical geography, and machine learning with big spatial data.
Since the emergence of contemporary area classifications, population geography has witnessed a renaissance in the area of policy related spatial analysis. Area classifications subsume geodemographic systems which often use data mining techniques and machine learning algorithms to simplify large and complex bodies of information about people and the places in which they live, work and undertake other social activities. Outputs developed from the grouping of small geographical areas on the basis of multi- dimensional data have proved beneficial particularly for decision-making in the commercial sectors of a vast number of countries in the northern hemisphere. This book argues that small area classifications offer countries in the Global South a distinct opportunity to address human population policy related challenges in novel ways using area-based initiatives and evidence-based methods. This book exposes researchers, practitioners, and students to small area segmentation techniques for understanding, interpreting, and visualizing the configuration, dynamics, and correlates of development policy challenges at small spatial scales. It presents strategic and operational responses to these challenges in cost effective ways. Using two developing countries as case studies, the book connects new transdisciplinary ways of thinking about social and spatial inequalities from a scientific perspective with GIS and Data Science. This offers all stakeholders a framework for engaging in practical dialogue on development policy within urban and rural settings, based on real-world examples. Features: The first book to address the huge potential of small area segmentation for sustainable development, combining explanations of concepts, a range of techniques, and current applications. Includes case studies focused on core challenges that confront developing countries and provides thorough analytical appraisal of issues that resonate with audiences from the Global South. Combines GIS and machine learning methods for studying interrelated disciplines such as Demography, Urban Science, Sociology, Statistics, Sustainable Development and Public Policy. Uses a multi-method approach and analytical techniques of primary and secondary data. Embraces a balanced, chronological, and well sequenced presentation of information, which is very practical for readers.
Book Synopsis GIS and Machine Learning for Small Area Classifications in Developing Countries by : Adegbola Ojo
Download or read book GIS and Machine Learning for Small Area Classifications in Developing Countries written by Adegbola Ojo and published by CRC Press. This book was released on 2020-12-29 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the emergence of contemporary area classifications, population geography has witnessed a renaissance in the area of policy related spatial analysis. Area classifications subsume geodemographic systems which often use data mining techniques and machine learning algorithms to simplify large and complex bodies of information about people and the places in which they live, work and undertake other social activities. Outputs developed from the grouping of small geographical areas on the basis of multi- dimensional data have proved beneficial particularly for decision-making in the commercial sectors of a vast number of countries in the northern hemisphere. This book argues that small area classifications offer countries in the Global South a distinct opportunity to address human population policy related challenges in novel ways using area-based initiatives and evidence-based methods. This book exposes researchers, practitioners, and students to small area segmentation techniques for understanding, interpreting, and visualizing the configuration, dynamics, and correlates of development policy challenges at small spatial scales. It presents strategic and operational responses to these challenges in cost effective ways. Using two developing countries as case studies, the book connects new transdisciplinary ways of thinking about social and spatial inequalities from a scientific perspective with GIS and Data Science. This offers all stakeholders a framework for engaging in practical dialogue on development policy within urban and rural settings, based on real-world examples. Features: The first book to address the huge potential of small area segmentation for sustainable development, combining explanations of concepts, a range of techniques, and current applications. Includes case studies focused on core challenges that confront developing countries and provides thorough analytical appraisal of issues that resonate with audiences from the Global South. Combines GIS and machine learning methods for studying interrelated disciplines such as Demography, Urban Science, Sociology, Statistics, Sustainable Development and Public Policy. Uses a multi-method approach and analytical techniques of primary and secondary data. Embraces a balanced, chronological, and well sequenced presentation of information, which is very practical for readers.
This textbook integrates GIS, spatial analysis, and computational methods for solving real-world problems in various policy-relevant social science applications. Thoroughly updated, the third edition showcases the best practices of computational spatial social science and includes numerous case studies with step-by-step instructions in ArcGIS Pro and open-source platform KNIME. Readers sharpen their GIS skills by applying GIS techniques in detecting crime hotspots, measuring accessibility of primary care physicians, forecasting the impact of hospital closures on local community, or siting the best locations for business. FEATURES Fully updated using the latest version of ArcGIS Pro and open-source platform KNIME Features two brand-new chapters on agent-based modeling and big data analytics Provides newly automated tools for regionalization, functional region delineation, accessibility measures, planning for maximum equality in accessibility, and agent-based crime simulation Includes many compelling examples and real-world case studies related to social science, urban planning, and public policy Provides a website for downloading data and programs for implementing all case studies included in the book and the KNIME lab manual Intended for students taking upper-level undergraduate and graduate-level courses in quantitative geography, spatial analysis, and GIS applications, as well as researchers and professionals in fields such as geography, city and regional planning, crime analysis, public health, and public administration.
Book Synopsis Computational Methods and GIS Applications in Social Science by : Fahui Wang
Download or read book Computational Methods and GIS Applications in Social Science written by Fahui Wang and published by CRC Press. This book was released on 2023-08-16 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook integrates GIS, spatial analysis, and computational methods for solving real-world problems in various policy-relevant social science applications. Thoroughly updated, the third edition showcases the best practices of computational spatial social science and includes numerous case studies with step-by-step instructions in ArcGIS Pro and open-source platform KNIME. Readers sharpen their GIS skills by applying GIS techniques in detecting crime hotspots, measuring accessibility of primary care physicians, forecasting the impact of hospital closures on local community, or siting the best locations for business. FEATURES Fully updated using the latest version of ArcGIS Pro and open-source platform KNIME Features two brand-new chapters on agent-based modeling and big data analytics Provides newly automated tools for regionalization, functional region delineation, accessibility measures, planning for maximum equality in accessibility, and agent-based crime simulation Includes many compelling examples and real-world case studies related to social science, urban planning, and public policy Provides a website for downloading data and programs for implementing all case studies included in the book and the KNIME lab manual Intended for students taking upper-level undergraduate and graduate-level courses in quantitative geography, spatial analysis, and GIS applications, as well as researchers and professionals in fields such as geography, city and regional planning, crime analysis, public health, and public administration.
Book Synopsis Essentials of Geographic Information Systems by : Michael Edward Shin
Download or read book Essentials of Geographic Information Systems written by Michael Edward Shin and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Early exposure to geography, spatial thinking, and geographic information systems (GIS) helps students gain an understanding of the world around them. This work helps students improve their basic map-reading skills and extend those skills by analyzing and thinking critically about the data. Thinking Spatially Using GIS contains teacher materials, lesson plans, a resource CD with exercises, and ArcExplorer Java Edition for Education software.
Book Synopsis Thinking Spatially Using GIS by : Eileen J. Napoleon
Download or read book Thinking Spatially Using GIS written by Eileen J. Napoleon and published by ESRI, Inc.. This book was released on 2008 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Early exposure to geography, spatial thinking, and geographic information systems (GIS) helps students gain an understanding of the world around them. This work helps students improve their basic map-reading skills and extend those skills by analyzing and thinking critically about the data. Thinking Spatially Using GIS contains teacher materials, lesson plans, a resource CD with exercises, and ArcExplorer Java Edition for Education software.
