Spatial Analysis And Gis
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Spatial Analysis And Gis
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Author : S Fotheringham
language : en
Publisher: CRC Press
Release Date : 2013-04-08
Spatial Analysis And Gis written by S Fotheringham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-08 with Technology & Engineering categories.
Geographic information systems represent an exciting and rapidly expanding technology via which spatial data may be captured, stored, retrieved, displayed, manipulated and analysed. Applications of this technology include detailed inventories of land use parcels. Spatial patterns of disease, geodemographics, environmental management and macroscale inventories of global resources. The impetus for this book is the relative lack of research into the integration of spatial analysis and GIS, and the potential benefits in developing such an integration. From a GIS perspective, there is an increasing demand for systems that do something other than display and organize data. From a spatial analytical perspective, there are advantages to linking statistical methods and mathematical models to the database and display capabilities of a GIS. Although the GIS may not be absolutely necessary for spatial analysis, it can facilitate such an analysis and moreover provide insights that might otherwise have been missed. The contributions to the book tell us where we are and where we ought to be going. It suggests that the integration of spatial analysis and GIS will stimulate interest in quantitative spatial science, particularly exploratory and visual types of analysis and represents a unique statement of the state-of-the-art issues in integration and interface.
An Introduction To Spatial Data Analysis
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Author : Martin Wegmann
language : en
Publisher: Pelagic Publishing Ltd
Release Date : 2020-09-14
An Introduction To Spatial Data Analysis written by Martin Wegmann and has been published by Pelagic Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-14 with Science categories.
This is a book about how ecologists can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions. An Introduction to Spatial Data Analysis introduces spatial data handling using the open source software Quantum GIS (QGIS). In addition, readers will be guided through their first steps in the R programming language. The authors explain the fundamentals of spatial data handling and analysis, empowering the reader to turn data acquired in the field into actual spatial data. Readers will learn to process and analyse spatial data of different types and interpret the data and results. After finishing this book, readers will be able to address questions such as “What is the distance to the border of the protected area?”, “Which points are located close to a road?”, “Which fraction of land cover types exist in my study area?” using different software and techniques. This book is for novice spatial data users and does not assume any prior knowledge of spatial data itself or practical experience working with such data sets. Readers will likely include student and professional ecologists, geographers and any environmental scientists or practitioners who need to collect, visualize and analyse spatial data. The software used is the widely applied open source scientific programs QGIS and R. All scripts and data sets used in the book will be provided online at book.ecosens.org. This book covers specific methods including: what to consider before collecting in situ data how to work with spatial data collected in situ the difference between raster and vector data how to acquire further vector and raster data how to create relevant environmental information how to combine and analyse in situ and remote sensing data how to create useful maps for field work and presentations how to use QGIS and R for spatial analysis how to develop analysis scripts
Advanced Spatial Analysis
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Author : Paul Longley
language : en
Publisher: ESRI, Inc.
Release Date : 2003
Advanced Spatial Analysis written by Paul Longley and has been published by ESRI, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Mathematics categories.
Advanced work on GIS applications in such fields as urban planning, transportation, and economic development
Geographical Data Science And Spatial Data Analysis
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Author : Lex Comber
language : en
Publisher: SAGE
Release Date : 2020-12-02
Geographical Data Science And Spatial Data Analysis written by Lex Comber and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-02 with Reference categories.
This book builds on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping, to consider Spatial Data (ie the location attached to data), issues of inference, linking Big Data, Geography / GIS / Mapping and Spatial Analytics. A ‘learning by doing’ text book, it covers important theoretical issues and helps to develop practical skills in the reader for addressing these.
Spatial Analysis And Gis
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Author : Stewart Fotheringham
language : en
Publisher:
Release Date : 2014
Spatial Analysis And Gis written by Stewart Fotheringham and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with MATHEMATICS categories.
Gis Spatial Analysis And Modeling
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Author : David J. Maguire
language : en
Publisher: Esri Press
Release Date : 2005
Gis Spatial Analysis And Modeling written by David J. Maguire and has been published by Esri Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
A guide for geographic analysts, modelers, software engineers, and GIS professionals, this book discusses agent-based modeling, dynamic feedback and simulation modeling, as well as links between models and GIS software. This collection also presents a state-of-the-art understanding of applications based on environmental, atmospheric, hydrological, urban, social, health, and economic models.
Spatial Analysis
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Author : Paul A. Longley
language : en
Publisher: John Wiley & Sons
Release Date : 1997-04-17
Spatial Analysis written by Paul A. Longley and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-04-17 with Technology & Engineering categories.
Spatial Analysis: Modelling in a GIS Environment Edited by PaulLongley and Michael Batty Digital data and information are usedincreasingly by academics, professionals, local authorities, andgovernment departments. Powerful new technologies, such asgeographic information systems (GIS), are being developed toanalyse such data, and GIS technologies are rapidly becoming partof the emergent world digital infrastructure. This book shows howcomputer methods of analysis and modelling, built around GIS, canbe used to identify ways in which our cities and regions might bebetter planned and understood. The contributors to this book areall actively involved in research using geographic informationsystems. This book will be valuable reading for: * Geographers, researchers, and regional analysts * Population theorists and regional economists with interests inlarge-scale demographic and employment data * Planners and policy-makers who wish to use GIS to improve theirdecision making * Business analysts who wish to explore markets using the mostrecent advances in digital spatial data technology * All those interested in geodemographics Paul Longley is Professor of Geography at the Department ofGeography, University of Bristol, United Kingdom. Michael Batty isProfessor of Spatial Analysis and Planning at the UniversityCollege London. United Kingdom.
An Introduction To R For Spatial Analysis And Mapping
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Author : Chris Brunsdon
language : en
Publisher: SAGE
Release Date : 2018-12-10
An Introduction To R For Spatial Analysis And Mapping written by Chris Brunsdon and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-10 with Reference categories.
This is a new edition of the accessible and student-friendly ′how to′ for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from ‘zero to hero’, updating the now standard text to further enable practical R applications in GIS, spatial analyses, spatial statistics, web-scraping and more. Revised and updated, each chapter includes: example data and commands to explore hands-on; scripts and coding to exemplify specific functionality; self-contained exercises for students to work through; embedded code within the descriptive text. The new edition includes detailed discussion of new and emerging packages within R like sf, ggplot, tmap, making it the go to introduction for all researchers collecting and using data with location attached. This is the introduction to the use of R for spatial statistical analysis, geocomputation, and GIS for all researchers - regardless of discipline - collecting and using data with location attached.
Gis For Planning And The Built Environment
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Author : Ed Ferrari
language : en
Publisher: Bloomsbury Publishing
Release Date : 2019-05-17
Gis For Planning And The Built Environment written by Ed Ferrari and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-17 with Political Science categories.
This engaging and practical guide is a much-needed new textbook that illustrates the power of geographic information systems (GIS) and spatial analysis. Today's planner has a wealth of data available to them, much of which is increasingly linked to a specific location. From football clubs to Twitter conversations, government spending to the spread of diseases – data can be mapped. Once mapped, the data begins to tell stories, patterns are revealed, and effective planning decisions can be made. When used effectively, GIS allows students, planners, residents and policymakers to solve wicked problems in the environment, society and the economy. Geospatial data is now more freely available than it ever has been, as is much of the necessary software to analyse it. This contemporary text offers a practical guide to spatial analysis and what it can show us. In addition to explaining what GIS is and why it is such a powerful tool, the authors cover such topics as geovisualization, mapping principles, network analysis and decision making. Offering more than just theoretical or technical principles and concepts, the book applies GIS techniques to the real world, draws on global examples and provides practical advice on mapping the built environment. This accessible text is essential reading for undergraduate and postgraduate students taking planning modules on GIS, data analysis and mapping, as well as for all planners, urbanists and geographers with an interest in how GIS can help us better understand the built environment from a socio-economic perspective.
Gis And Spatial Analysis For The Social Sciences
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Author : Robert Nash Parker
language : en
Publisher: Routledge
Release Date : 2009-09-10
Gis And Spatial Analysis For The Social Sciences written by Robert Nash Parker and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-10 with Political Science categories.
This is the first book to provide sociologists, criminologists, political scientists, and other social scientists with the methodological logic and techniques for doing spatial analysis in their chosen fields of inquiry. The book contains a wealth of examples as to why these techniques are worth doing, over and above conventional statistical techniques using SPSS or other statistical packages. GIS is a methodological and conceptual approach that allows for the linking together of spatial data, or data that is based on a physical space, with non-spatial data, which can be thought of as any data that contains no direct reference to physical locations.