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Open GIS de Jizhe Xia

Open GIS

Autor Jizhe Xia, Qunying Huang, Zhipeng Gui, Wei Tu
en Limba Engleză Hardback – iun 2024

Ne-a atras atenția Open GIS prin rigoarea cu care Jizhe Xia, Qunying Huang, Zhipeng Gui și Wei Tu fundamentează tranziția de la software-ul proprietar la ecosistemul open source. Autorii, cercetători cu experiență în domeniul geoinformaticii, au conceput acest volum ca un ghid metodologic esențial, adresând lipsa de materiale didactice structurate pentru noile generații de specialiști GIS. Subliniem faptul că lucrarea nu se limitează la teorie, ci integrează date, servicii și biblioteci de programare actualizate pentru standardele anului 2024.

Textul este organizat logic, începând cu bazele datelor deschise și managementul acestora prin sisteme relaționale și NoSQL, o adiție necesară în contextul volumelor mari de date (Big Data). Progresia continuă cu analiza datelor vectoriale și a imaginilor satelitare, culminând cu dezvoltarea de aplicații web și desktop pentru vizualizare 2D și 3D. Lucrarea completează perspectiva oferită de Open Source GIS de Markus Neteler, care se concentrează masiv pe abordarea GRASS GIS, adăugând o deschidere mai largă către biblioteci moderne, API-uri și studii de caz aplicate în sănătate publică și managementul hazardelor naturale. De asemenea, față de Open Source Geospatial Tools de Daniel McInerney, care pune accent pe interfața în linie de comandă, acest volum extinde analiza către arhitecturi web și soluții integrate de business.

Credem că valoarea pedagogică a cărții este susținută major de exercițiile practice de la finalul fiecărui capitol. Acestea permit cititorului să testeze imediat conceptele de statistică spațială și procesare de date, transformând un manual tehnic într-un instrument de lucru activ. Este o resursă care aliniază curriculumul academic cu cerințele tehnice actuale ale industriei geospațiale.

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Specificații

ISBN-13: 9783031417474
ISBN-10: 303141747X
Pagini: 360
Ilustrații: XVI, 344 p. 239 illus., 226 illus. in color.
Dimensiuni: 160 x 241 x 24 mm
Greutate: 0.77 kg
Ediția:2024
Editura: Springer
Locul publicării:Cham, Switzerland

De ce să citești această carte

Recomandăm Open GIS studenților și profesioniștilor care doresc să stăpânească ecosistemul software-ului liber. Cititorul câștigă competențe practice în gestionarea bazelor de date NoSQL, programare GIS și vizualizare 3D, beneficiind de exerciții aplicate. Este o alegere excelentă pentru cei care vor să implementeze soluții geospațiale cost-effective în domenii precum sănătatea publică sau analiza riscurilor naturale, fără a depinde de licențe comerciale restrictive.

Despre autor

Autorii volumului, Jizhe Xia, Qunying Huang, Zhipeng Gui și Wei Tu, sunt experți recunoscuți în domeniul sistemelor informatice geografice și al științei datelor spațiale. Cu o activitate academică și de cercetare susținută, aceștia au contribuit semnificativ la dezvoltarea metodologiilor de analiză Big Data și a serviciilor web GIS. Expertiza lor colectivă acoperă întreg spectrul tehnologiilor geospațiale, de la gestionarea infrastructurilor de date la modelarea fenomenelor naturale, oferind lucrării o autoritate științifică dublată de o înțelegere profundă a nevoilor actuale din educația și industria GIS.

Cuprins

Chapter 1: Open GIS.- Chapter 2: Open Data.- Chapter 3: Open Data Standards and Services.- Chapter 4: DB fundamentals.- Chapter 5: Relational Database.- Chapter 6: NoSQLDatabase for Big Data.- Chapter 7: Vector data processing and analysis.- Chapter 8: Remote Sensing Image Analysis.- Chapter 9: Programming Libraries, APIs and Tools.- Chapter 10: Desktop-based Mapping and Visualization Tools.- Chapter 11: Web-based Mapping and Visualization Packages.- Chapter 12: Open GIS for Public Health.- Chapter 13: Open GIS for Natural Hazards.- Chapter 14: Open GIS for Business. 

Notă biografică

Dr Jizhe Xia is an associate professor in the Department of Urban Informatics at Shenzhen University, China. He received his Ph.D. degree in earth systems and geoinformation sciences from George Mason University, in 2015. From 2015 to 2017, he was a Research Assistant Professor with the National Science Foundation (NSF) Spatiotemporal Invitation Center. His research interests include spatiotemporal data structure, spatiotemporal optimization, open-source GIS and their applications in smart city. He published over 60 articles with over 1200 citations. He is the PI of National Natural Science Foundation of China (NFSC) project, National Key R&D Program of China programs sub-project and has received over 4 million RMB research funding since 2017. Dr. Xia teaches courses including: (1) Open-source GIS (undergrade level); Open data, software and computing (graduate level), (2) WebGIS, (3) Data science and data mining, (4) Big Data GIS, and (5) Spatial visualization. In 2019, he receivedthe second prize of GIS teaching competition of China. His teaching experiences are highly relevant to the scope of the proposed book.
Dr. Qunying Huang is an associate professor in the Department of Geography at University of Wisconsin-Madison (UW-Madison). She holds a B.S. from Central South University (2004), M.S. from Peking University (2007) and Ph.D. from George Mason University (2011). Her fields of expertise include Spatial Big Data Analytics and Fusion, Spatial Data Mining, and Spatial Computing. Dr. Huang’s research bridges the gap between Computer and Information Science (CIScience) and GIScience by generating new computational algorithms and methods to make sense of complex spatial datasets. The problem domains of her research are related to human mobility and natural hazards. Dr. Huang published over 90 articles, and edited three books. Her research is primarily sponsored by Department of Energy, National Science Foundation, National Aeronautics and Space Administration, National Institutes of Health, NOAA Sea Grant, and Wisconsin Alumni Research Foundation. Dr. Huang is a fellow for Next Generation of Hazards & Disasters Researchers, and CyberGIS. Dr. Huang served as an editorial board member for the Geo-spatial Information Science (GSIS), and a guest editor of a Special Issue in the ISPRS International Journal of Geo-Information, International Journal of Digital Earth, and Cartography and Geographic Information Science.  Dr. Huang was elected as the chair for AAG Cyberinfrastructure Specialty Group. Dr. Huang regularly teaches three GIScience: (1) Geog170 “Introduction to Geospatial Technologies”; (2) Geog574 “Spatial Database”; and (3) Geog576 “Spatial Web and Mobile Programming”. IN particular, the teaching experiences in Geo574, and Geog576 are highly relevant and useful to the proposed book chapters Dr. Huang will be responsible for.
Dr. Zhipeng Gui is now an Associate Professor of Geographic Information Science in the School of Remote Sensing and Information Engineering, Wuhan University. He received his Ph.D. degree from Wuhan University in 2011, and worked as a research assistant professor at George Mason University, U.S. till Dec. 2013, as well as an honorary research associate at Chinese University of Hong Kong in 2018. His research interest is high-performance spatiotemporal data mining, geovisual analytics and Distributed Geographic Information Processing (DGIP), especially on 1) Spatiotemporal point pattern analysis, human mobility and GeoAI; 2) High-performance geocomputation and spatial cloud computing; 3) Multimodal and cross-modal geospatial resource discovery and retrieval; 4) Geospatial service chain modeling and optimization; 5) QoGIS-aware monitoring and evaluation of geospatial web services. He serves as the Co-chair of International Society for Photogrammetry and Remote Sensing (ISPRS) Working Group V/4 (2016-2020), as well as the Secretary of Working Committee of Theory and Method for Geographic Information Science (2017-2021), China Association for Geographic Information Society (CAGIS). He has received two research programs as PI sponsored by National Natural Science Foundation of China (NFSC), and participate two National Key R&D Program of China programs as PI of Sub-project. Dr. Gui regularly teaches four courses: 1) Geospatial Web Service Technologies; 2) High Performance Geocomputation; 2) Geovisualization Technologies; 4) Software Engineering. He also teaches several international summer school courses and tutorials during ISPRS events.
Dr. Wei Tu is an associate professor in the Department of Urban Informatics, Shenzhen University. He is also a visiting scholar at the Senseable City Laboratory, Massachusetts Institute of Technology. He received the B.S., M.S, and Ph.D degree from Wuhan University 2007, 2009, and 2013 respectively. He is the co-chair of Work Group “smart cities and region”, International Society of Photogrammetry and Remote Sensing. His research interests focus on Urban Sensing and Intelligence, including data-driven human activity-mobility, multi-source geospatial data fusion, and smart applications in the cities worldwide. He has published over 60 articles. His research is primarily sponsored by National Science Foundation of China, MSRA, Shenzhen City Government. Dr. Tu served as an editorial board member for the PLOS One, and a guest editor of a Special Issue in the Environment and Planning B: Urban Analytics and City Science. He has been awarded the LIZHI Young-Talent Scholar. Dr. Tu teaches courses including: (1) GIS: principle and application (undergrade level); (2) Spatial statistics and analysis, (3) Urban big data analytics. His teaching experiences are highly relevant to the scope of the proposed book. 

Textul de pe ultima copertă

This book provides a comprehensive introduction about recent state-of-the-art advancements in Open GIS, including Open GIS data, services, software, and libraries for GIS programming. Though GIS software has entered the era of Open GIS alongside the emerging trend of open source software, there is no suitable book for GIS educators to teach our next generation, and for professionals to gain an in-depth understanding about Open GIS technologies and toolkits. This book intends to provide this missing guidance for students, educators and professionals in geospatial fields to quickly find, learn and use a wide arrange of open-sourced data, tools, and programming for geospatial applications. 

The book begins with an introduction to open data, and discusses data management solutions, including both open-sourced relational databases and NoSQL database systems for big data. Next, the book covers different GIS and remote sensing software, tools and programming libraries to perform spatial statistics and analyses. Readers will learn about the tools and libraries for desktop and web GIS development for both two dimensional (2D) and three dimensional (3D) mapping and visualization. Finally, the book provides two example of Open GIS applications including public health and natural hazards. At the end of each chapter, practical hands-on exercises are included for readers to fully master the most popular Open GIS technologies introduced in the chapter.