Using ArcGIS Geostatistical Analyst PDF Download
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Author: Kevin Johnston
Publisher: Esri Press
ISBN: 9781589480063
Category : Affichage tridimensionnel
Languages : en
Pages : 0
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Book Description
Author: Kevin Johnston
Publisher: Esri Press
ISBN: 9781589480063
Category : Affichage tridimensionnel
Languages : en
Pages : 0
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Book Description
Author: Jill McCoy
Publisher: ESRI Press
ISBN: 9781589481053
Category : ArcGIS
Languages : en
Pages : 0
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Book Description
This book is an excellent reference for users of ESRI ArcGIS Spatial Analyst, one of the extensions to the ArcGIS Desktop products ArcInfo, ArcEditor, and ArcView. ArcGIS Spatial Analyst lets ArcGIS Desktop users create, query, and analyze cell-based raster maps; derive new information from existing data; query information across multiple data layers; and fully integrate cell-based raster data with traditional vector data sources. ArcGIS Spatial Analyst helps you answer questions such as How steep is it in a certain location? or What is the least-cost path from point A to point B? Begin with the quick-start tutorial for an overview of performing spatial analysis using the functions of ArcGIS Spatial Analyst. If you prefer, jump right in and experiment on your own. The book also includes concise, step-by-step, fully illustrated examples.
Author: K. Krivoruchko
Publisher:
ISBN:
Category :
Languages : en
Pages : 928
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Book Description
Author: William Bajjali
Publisher: Springer
ISBN: 3319611585
Category : Science
Languages : en
Pages : 363
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Book Description
This textbook is a step-by-step tutorial on the applications of Geographic Information Systems (GIS) in environmental and water resource issues. It provides information about GIS and its applications, specifically using the most advanced ESRI GIS technology and its extensions. Eighteen chapters cover GIS applications in the field of earth sciences and water resources in detail from the ground up. Author William Bajjali explains what a GIS is and what it is used for, the basics of map classification, data acquisition, coordinate systems and projections, vectorization, geodatabase and relational database, data editing, geoprocessing, suitability modeling, working with raster, watershed delineation, mathematical and statistical interpolation, and more advanced techniques, tools and extensions such as ArcScan, Topology, Geocoding, Hydrology, Geostatistical Analyst, Spatial Analyst, Network Analyst, 3-D Analyst. ArcPad, ESRI’s cutting-edge mobile GIS software, is covered in detail as well. Each chapter contains concrete case studies and exercises – many from the author’s own work in the United States and Middle East. This volume is targeted toward advanced undergraduates, but could also be useful for professionals and for anyone who utilizes GIS or practices spatial analysis in relation to geology, hydrology, ecology, and environmental sciences. Exercises and supplementary material can be downloaded by chapter here: https://link.springer.com/book/10.1007%2F978-3-319-61158-7
Author: Steve Kopp
Publisher: Esri Press
ISBN: 9781589480056
Category : Affichage tridimensionnel
Languages : en
Pages : 0
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Book Description
Author: George Grekousis
Publisher: Cambridge University Press
ISBN: 1108498981
Category : Reference
Languages : en
Pages : 535
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Book Description
An introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.
Author: Senapathi Venkatramanan
Publisher: Elsevier
ISBN: 0128154144
Category : Science
Languages : en
Pages : 392
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Book Description
GIS and Geostatistical Techniques for Groundwater Science provides a detailed synthesis of the application of GIS and geostatistics in groundwater studies. As the book illustrates, GIS can be a powerful tool for developing solutions for water resource problems, assessing water quality, and managing water resources. Beginning with an introduction to the history of GIS and geostatistical techniques in groundwater studies, the book then describes various spatial techniques, including case studies for various applications, from quality assessment, to resource management. This book assembles the most up-to-date techniques in GIS and geostatistics as they relate to groundwater, one of our most important natural resources. - Provides details on the application of GIS and statistics in groundwater studies - Includes practical coverage of the use of spatial analysis techniques in groundwater science - Bridges the gap between geostatistics and GIS as it relates to groundwater science and management - Offers worldwide case studies to illustrate various techniques and applications in addressing groundwater issues
Author: Sarah M. Hamylton
Publisher: Cambridge University Press
ISBN: 1107070473
Category : Science
Languages : en
Pages : 339
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Book Description
This book covers the spatial analytical tools needed to map, monitor and explain or predict coastal features, with accompanying online exercises.
Author: Roger S. Bivand
Publisher: Springer Science & Business Media
ISBN: 1461476186
Category : Medical
Languages : en
Pages : 414
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Book Description
Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.
Author: David O'Sullivan
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 440
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Book Description
Geographic Information Analysis provides up-to-date coverage of the foundations of spatial data analysis through visualization and maps. This book covers key spatial concepts, including point pattern, line objects and networks, area objects, and continuous fields, as well as such new subjects as local statistics. With crucial methods for analyzing geographical information, this is an essential reference for professionals as well as a useful text for the classroom.
