Spatial Temporal Information Systems, McNeil, Linda M. , Kelso, T.S.

Автор: McNeil, Linda M.
Название: Spatial Temporal Information Systems
ISBN: 146650045X ISBN-13(EAN): 9781466500457
Издательство: Taylor&Francis
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Цена: 148010.00 T
Наличие на складе: Нет в наличии.

Автор: Biao Liu, Huang Bo
Название: Spatio-temporal Analysis and Optimization of Land Use/Cover Change: Shenzhen as a Case Study
ISBN: 1138748773 ISBN-13(EAN): 9781138748774
Издательство: Taylor&Francis
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Цена: 76560.00 T
Наличие на складе: Невозможна поставка.
Описание: This book will firstly help readers establish the research parameters of land use change and then provide a set of statistical models to effectively process land use change data. Analysis of the results derived from this processing will aid urban planners and policy makers to effectively understand  land use change in a spatial and temporal framework, make more precise land use projections, and hence facilitate the generation of systematic plans.

Автор: Thomas Ott; Frank Swiaczny
Название: Time-Integrative Geographic Information Systems
ISBN: 3642624871 ISBN-13(EAN): 9783642624872
Издательство: Springer
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Цена: 111790.00 T
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Автор: Christos Doulkeridis; George A. Vouros; Qiang Qu;
Название: Mobility Analytics for Spatio-Temporal and Social Data
ISBN: 3319735209 ISBN-13(EAN): 9783319735207
Издательство: Springer
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Цена: 39130.00 T
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Описание: This book constitutes the refereed post-conference proceedings of the First International Workshop on Mobility Analytics for Spatio-Temporal and Social Data, MATES 2017, held in Munich, Germany, in September 2017. The 6 revised full papers and 2 short papers included in this volume were carefully reviewed and selected from 13 submissions. Also included are two keynote speeches. The papers intend to raise awareness of real-world problems in critical domains which require novel data management solutions. They are organized in two thematic sections: social network analytics and applications, and spatio-temporal mobility analytics.

Автор: Jean-Claude Thill
Название: Spatial Analysis and Location Modeling in Urban and Regional Systems
ISBN: 3642378951 ISBN-13(EAN): 9783642378959
Издательство: Springer
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Цена: 158380.00 T
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Описание: This contributed volume collects cutting-edge research in Geographic Information Science & Technologies, Location Modeling, and Spatial Analysis of Urban and Regional Systems. The contributions emphasize methodological innovations or substantive breakthroughs on many facets of the socio-economic and environmental reality of urban and regional contexts.

Автор: Markus Schneider
Название: Spatial Data Types for Database Systems
ISBN: 3540634541 ISBN-13(EAN): 9783540634546
Издательство: Springer
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Цена: 65210.00 T
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Описание: Spatial data types provide a fundamental abstraction for modeling the structure of geometric entities, their relationships, properties and operations. This monograph is an extensive survey of this field and introduces a new, general, sophisticated framework for the formal definition and robust implementation of spatial data types.

Автор: Manfred M. Fischer; Peter Nijkamp
Название: Geographic Information Systems, Spatial Modelling and Policy Evaluation
ISBN: 3642775020 ISBN-13(EAN): 9783642775024
Издательство: Springer
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Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Topics covered include the design and use of GIS and spatial models, AI tools for spatial modelling in GIS, spatial statistical analysis and GIS, GIS and dynamic modelling, GIS in urban planning and policy making, information systems for policy evaluation, and spatial decision support systems.

Автор: Angioletta Voghera, Luigi La Riccia
Название: Spatial Planning in the Big Data Revolution
ISBN: 1522593012 ISBN-13(EAN): 9781522593010
Издательство: Mare Nostrum (Eurospan)
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Цена: 146910.00 T
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Описание: Through interaction with other databases such as social media, geographic information systems have the ability to build and obtain not only statistics defined on the flows of people, things, and information but also on perceptions, impressions, and opinions about specific places, territories, and landscapes. It is thus necessary to systematize, integrate, and coordinate the various sources of data (especially open data) to allow more appropriate and complete analysis, descriptions, and elaborations. Spatial Planning in the Big Data Revolution is a critical scholarly resource that aims to bring together different methodologies that combine the potential of large data analysis with GIS applications in dedicated tools specifically for territorial, social, economic, environmental, transport, energy, real estate, and landscape evaluation. Additionally, the book addresses a number of fundamental objectives including the application of big data analysis in supporting territorial analysis, validating crowdsourcing and crowdmapping techniques, and disseminating information and community involvement. Urban planners, architects, researchers, academicians, professionals, and practitioners in such fields as computer science, data science, and business intelligence will benefit most from the research contained within this publication.

Автор: George Grekousis
Название: Spatial Analysis Methods and Practice: Describe – Explore – Explain through GIS
ISBN: 1108498981 ISBN-13(EAN): 9781108498982
Издательство: Cambridge Academ
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Цена: 128830.00 T
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Описание: This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences.

Автор: Kalkhan, Mohammed A.
Название: Spatial Statistics
ISBN: 0367865629 ISBN-13(EAN): 9780367865627
Издательство: Taylor&Francis
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Цена: 47970.00 T
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Описание: Geospatial information modeling and mapping have become important tools for the investigation and management of natural resources at the landscape scale. This book reviews the types and applications of geospatial information data, such as remote sensing, GIS, and GPS, as well as their integration into landscape-scale geospatial statistical model

Автор: Singh Suraj Kumar, Kanga Shruti, Mishra Varun Narayan
Название: Spatial Information Science for Natural Resource Management
ISBN: 1799850277 ISBN-13(EAN): 9781799850274
Издательство: Mare Nostrum (Eurospan)
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Цена: 163020.00 T
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Описание: Explores coordinated approaches to sustainable development and management of natural resources to keep a balance of the environment, ecology, and human livelihood. Covering a range of topics including crop yield estimation, ecosystem services, and land information systems, this book covers interdisciplinary techniques in managing natural resources.

Автор: Zhou Chenghu, Su Fenzhen, Harvey Francis
Название: Spatial Data Handling in Big Data Era: Select Papers from the 17th Igu Spatial Data Handling Symposium 2016
ISBN: 9811351333 ISBN-13(EAN): 9789811351334
Издательство: Springer
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Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues.