Geographical information systems : trends and technologies

''Web services, cloud computing, location based services, NoSQLdatabases, and Semantic Web offer new ways of accessing, analyzing, and elaborating geo-spatial information in both real-world and virtual spaces. This book explores the how-to of the most promising recurrent technologies and trends in GIS, such as Semantic GIS, Web GIS, Mobile GIS, NoSQL Geographic Databases, Cloud GIS, Spatial Data Warehousing-OLAP, and Open GIS. The text discusses and emphasizes the methodological aspects of such technologies and their applications in GIS''-- Read more... Content: 1. Preparing array analytics for the data tsunami / Peter Baumann, Jinsongdi Yu, Dimitar Misev, Kinga Lipskoch, Alan Beccati, Piero Campalani and Michael Owonibi -- 2. Similarity Join for Big Geographic Data / Yasin N. Silva, Jason M. Reed, Lisa M. Tsosie and Timothy A. Matti -- 3. Spatial index schemes for cloud environments / Wen-Chih Peng, Ling-Yin Wei, Ya-Ting Hsu, Yi-Chin Pan and Wang-Chien Lee -- 4. NoSQL geographic databases : an overview / Cláudio de Souza Baptista, Carlos Eduardo Santos Pires, Daniel Farias Batista Leite, Maxwell Guimarães de Oliveira and Odilon Francisco de Lima Junior -- 5. Web services composition and geographic information / Pasquale Di Giovanni, Michela Bertolotto, Giuliana Vitiello and Monica Sebillo -- 6. Database server models for WMS and WFS geographic web services / Nissrine Souissi and Michel Mainguenaud -- 7. Robust workflow systems + flexible geoprocessing services = geo-enabled model web? / Carlos Granell -- 8. Architecture for including personalization in a mobile GIS via semantic web techniques / Laia Descamps-Vila, Jordi Conesa, Antoni Pérez-Navarro and Joan Casas -- 9. GeoBI architecture based on free software : experience and review / Elzbieta Malinowski -- 10. Semantic similarity based on weighted ontology / Elaheh Pourabbas. Abstract: ''Web services, cloud computing, location based services, NoSQLdatabases, and Semantic Web offer new ways of accessing, analyzing, and elaborating geo-spatial information in both real-world and virtual spaces. This book explores the how-to of the most promising recurrent technologies and trends in GIS, such as Semantic GIS, Web GIS, Mobile GIS, NoSQL Geographic Databases, Cloud GIS, Spatial Data Warehousing-OLAP, and Open GIS. The text discusses and emphasizes the methodological aspects of such technologies and their applications in GIS'' "Preface Geographical Information Systems (GIS) since its inception in the late 1960s have seen an increasing rate of theoretical, technological and organizational development. Developments in each decade of the last 50 years highlight particular innovations in this fi eld. The mid 1960s witnessed the initial development of GIS in combining spatially referenced data, spatial data models and data visualization. The early 1970s witnessed the ability of computer mapping in automatic map drafting and using data format. In the 1980s, computer mapping capabilities have been merged with traditional database management systems capabilities to generate spatial database management systems. Accordingly, the ability to select, sort, extract, classify and display geographic data on the basis of complex topological and statistical criteria was available to users. The 1990s saw map analysis and modeling advances in GIS, and these systems became real management information tools as computing power increased. During this decade, the Open GIS Consortium, aimed at developing publicly available geoprocessing specifi cations, was founded. Since 2000, with the advent of Web 2.0, mobile, and wireless technologies, GIS have been moving towards an era in which the power of such systems is continuously increasing in multiple facets consisting of computing, visualizing, mining, reasoning data. The latest changes in technologies and trends have brought new challenges and opportunities in GIS domain. Specifi cally, mobile and internet devices, Cloud computing, NoSQL databases, Semantic Web, Web services offer new ways of accessing, analyzing, and elaborating geospatial information in both real-world and virtual spaces"-- Provided by publisher Front Cover 1 Preface 6 Acknowledgments 8 Contents 10 CHAPTER 1: Preparing Array Analytics for the Data Tsunami 12 CHAPTER 2: Similarity Join for Big Geographic Data 31 CHAPTER 3: Spatial Index Schemes for Cloud Environments 61 CHAPTER 4: NoSQL Geographic Databases: An Overview 84 CHAPTER 5: Web Services Composition and Geographic Information 115 CHAPTER 6: Database Server Models for WMS and WFS Geographic Web Services 153 CHAPTER 7: Robust Workflow Systems + Flexible Geoprocessing Services = Geo-enabled Model Web? 183 CHAPTER 8: Architecture for Including Personalization in a Mobile GIS via Semantic Web Techniques 216 CHAPTER 9: GeoBI Architecture Based on Free Software: Experience and Review 255 CHAPTER 10: Semantic Similarity based on Weighted Ontology 298 Color Plate Section 341 "Web services, cloud computing, location based services, NoSQLdatabases, and Semantic Web offer new ways of accessing, analyzing, and elaborating geo-spatial information in both real-world and virtual spaces. This book explores the how-to of the most promising recurrent technologies and trends in GIS, such as Semantic GIS, Web GIS, Mobile GIS, NoSQL Geographic Databases, Cloud GIS, Spatial Data Warehousing-OLAP, and Open GIS. The text discusses and emphasizes the methodological aspects of such technologies and their applications in GIS"-- Résumé de l'éditeur "Web services, cloud computing, location based services, NoSQLdatabases, and Semantic Web offer new ways of accessing, analyzing, and elaborating geo-spatial information in both real-world and virtual spaces. This book explores the how-to of the most promising recurrent technologies and trends in GIS, such as Semantic GIS, Web GIS, Mobile GIS, NoSQL Geographic Databases, Cloud GIS, Spatial Data Warehousing-OLAP, and Open GIS. The text discusses and emphasizes the methodological aspects of such technologies and their applications in GIS"-- Provided by publisher