Michael F. Worboys – författare

Following two successful editions, the third edition of GIS: A Computing Perspective has been completely revised and updated, with extensive new content reflecting the significant progress that has been made in the realm of GIS within the last 20 years. Major new topics covered for the first time in this edition include: graph databases and graph query languages, ontology engineering and qualitative spatial reasoning, geosensor networks and GeoAI, decentralized computing and online algorithms, and critical GIS and data sovereignty.

Features

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, and 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

Intended for anyone interested in understanding GIS, especially students taking upper-level undergraduate and graduate courses in computer science and geography, as well as academics, researchers, practitioners, and professionals working in the field and involved in advanced GIS projects.

Following two successful editions, the third edition of GIS: A Computing Perspective has been completely revised and updated, with extensive new content reflecting the significant progress that has been made in the realm of GIS within the last 20 years. Major new topics covered for the first time in this edition include: graph databases and graph query languages, ontology engineering and qualitative spatial reasoning, geosensor networks and GeoAI, decentralized computing and online algorithms, and critical GIS and data sovereignty.FeaturesIncludes 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 learningPresents 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 designConnects 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 GISIntegrates the necessary background to foundational areas, such as databases and data structures, algorithms and indexes, and system architecture and AI, provided in context so readers new to those topics can still understand the concepts being discussedIncorporates 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 conceptsWelcomes 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 dataIntended for anyone interested in understanding GIS, especially students taking upper-level undergraduate and graduate courses in computer science and geography, as well as academics, researchers, practitioners, and professionals working in the field and involved in advanced GIS projects.

Following two successful editions, the third edition of GIS: A Computing Perspective has been completely revised and updated, with extensive new content reflecting the significant progress that has been made in the realm of GIS within the last 20 years. Major new topics covered for the first time in this edition include: graph databases and graph query languages, ontology engineering and qualitative spatial reasoning, geosensor networks and GeoAI, decentralized computing and online algorithms, and critical GIS and data sovereignty.

Features

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, and 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

Intended for anyone interested in understanding GIS, especially students taking upper-level undergraduate and graduate courses in computer science and geography, as well as academics, researchers, practitioners, and professionals working in the field and involved in advanced GIS projects.

COSIT,theseriesofConferencesonSpatialInformationTheory,hasbeenaround for more than ten years. Its hallmarks are a fruitful interdisciplinary dialogue between computational and human perspectives on spatio-temporal information and a thorough review process that selects the best papers while giving all - thors detailed feedback on how to develop their work. A clear pro?le of the COSIT community has emerged from the series of conference proceedings, all published as Springer Lecture Notes in Computer Science, and from the per- nent web site at http://www. cosit. info, containing links to the conference web sites and proceedings, a history and program of the series, an impact study, interviews with participants, and pictures. The proceedings of this sixth conference provide ample evidence that COSIT is healthy and maturing, while retaining its youth. Out of the 61 submissions, the program committee selected 26 papers for presentation, in discussions based on at least three double-blind reviews and one or more meta-review from PC members for each paper. Classical COSIT themes, such as spatial reasoning (about distances and directions, regions and shapes) or vagueness are being f- ther re?ned; topics like way?nding and landmarks are boosted by new synergies betweencognitiveandcomputationalapproaches;andthestudyofontologiesfor space and time, a subject since the ?rst COSIT, is gaining more depth.

COSIT,theseriesofConferencesonSpatialInformationTheory,hasbeenaround for more than ten years. Its hallmarks are a fruitful interdisciplinary dialogue between computational and human perspectives on spatio-temporal information and a thorough review process that selects the best papers while giving all - thors detailed feedback on how to develop their work. A clear pro?le of the COSIT community has emerged from the series of conference proceedings, all published as Springer Lecture Notes in Computer Science, and from the per- nent web site at http://www. cosit. info, containing links to the conference web sites and proceedings, a history and program of the series, an impact study, interviews with participants, and pictures. The proceedings of this sixth conference provide ample evidence that COSIT is healthy and maturing, while retaining its youth. Out of the 61 submissions, the program committee selected 26 papers for presentation, in discussions based on at least three double-blind reviews and one or more meta-review from PC members for each paper. Classical COSIT themes, such as spatial reasoning (about distances and directions, regions and shapes) or vagueness are being f- ther re?ned; topics like way?nding and landmarks are boosted by new synergies betweencognitiveandcomputationalapproaches;andthestudyofontologiesfor space and time, a subject since the ?rst COSIT, is gaining more depth.

This volume contains the proceedings of the eleventh BritishNational Conference on Databases, held at Keele University,England. A dominant themein the volume is the provision ofthe means to enhance the capabilities of databases to handleinformation that has a rich semantic structure. A majorresearch question is how to achieve such a semantic scale-upwithout sacrificing performance. There are currently twomain paradigms within which it is possible to proposeanswers to this question, deduction-oriented andobject-oriented. Both paradigms are well represented in thiscollection, with the balance in the direction of thedeductive approach, which is followed by both the invitedpapers, by Michael Freeston from the EuropeanComputer-Industry Research Centre in Munich and CarloZaniolo from the University of California at Los Angeles. Inaddition, the volume contains 13 full papers selected from atotal of36 submissions.