Spatial Analysis Theory And Practice


Spatial Analysis Theory And Practice
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Spatial Data Analysis


Spatial Data Analysis
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Author : Robert P. Haining
language : en
Publisher: Cambridge University Press
Release Date : 2003-04-17

Spatial Data Analysis written by Robert P. Haining and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-04-17 with Business & Economics categories.


Spatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging treatment of the field of spatial data analysis. It begins with an overview of spatial data analysis and the importance of location (place, context and space) in scientific and policy related research. Covering fundamental problems concerning how attributes in geographical space are represented to the latest methods of exploratory spatial data analysis and spatial modeling, it is designed to take the reader through the key areas that underpin the analysis of spatial data, providing a platform from which to view and critically appreciate many of the key areas of the field. Parts of the text are accessible to undergraduate and master's level students, but it also contains sufficient challenging material that it will be of interest to geographers, social and economic scientists, environmental scientists and statisticians, whose research takes them into the area of spatial analysis.



Spatial Analysis


Spatial Analysis
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Author : Lorenzo Jade
language : en
Publisher: Larsen and Keller Education
Release Date : 2019-06-13

Spatial Analysis written by Lorenzo Jade and has been published by Larsen and Keller Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-13 with Science categories.


Spatial analysis refers to the set of analytical approaches and techniques concerned with the study of geographical elements and entities, and their geometric, geographical and topological properties. Some of the issues in spatial analysis involve spatial characterization of entities, spatial dependency and spatial auto-correlation problem, scaling, spatial sampling, etc. The principal types of spatial analysis are spatial data analysis, spatial autocorrelation, spatial interpolation, spatial regression, and simulation and modeling, among many others. The analysis of geospatial data involves statistical analyses using software, geographic information systems (GIS) and geomatics. It has applications in diverse areas like ecology, geology, epidemiology, defense, disaster risk reduction and management, etc. This book provides comprehensive insights into the field of spatial analysis. Most of the topics introduced herein cover new techniques, practices and applications of spatial analysis. Those with an interest in this field would find this textbook helpful.



Spatial Analysis Methods And Practice


Spatial Analysis Methods And Practice
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Author : George Grekousis
language : en
Publisher: Cambridge University Press
Release Date : 2020-06-11

Spatial Analysis Methods And Practice written by George Grekousis and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-11 with Reference categories.


An introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.



Spatial Statistics For Data Science


Spatial Statistics For Data Science
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Author : Paula Moraga
language : en
Publisher: CRC Press
Release Date : 2023-12-08

Spatial Statistics For Data Science written by Paula Moraga and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-08 with Mathematics categories.


Describes R packages for retrieval, manipulation, and visualization of spatial data Offers a comprehensive overview of spatial statistical methods including spatial autocorrelation, clustering, spatial interpolation, model-based geostatistics, and spatial point processes Provides detailed explanations on how to fit and interpret Bayesian spatial models using the integrated nested Laplace approximation (INLA) and stochastic partial differential equation (SPDE) approaches



Intrasite Spatial Analysis In Theory And Practice


Intrasite Spatial Analysis In Theory And Practice
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Author : H. P. Blankholm
language : en
Publisher: Aarhus Universitetsforlag
Release Date : 1991

Intrasite Spatial Analysis In Theory And Practice written by H. P. Blankholm and has been published by Aarhus Universitetsforlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Mathematics categories.


A full coverage of the possible applications of statistical approaches to material scatters within mainly gatherer-hunter assemblages. Blankholm attempts to leven the content with a useful review of the history and aims of intrasite analysis, but the core of the book are two chapters covering relevant statistics and simulation studies. A useful feature is a fully worked example of application to the archaeological data from Mesolithic Barmose, in South Zealand; backed up by included overlays. Appendix B is a guide to the operation of the computer package, Arcospace 2.0. Dense, but written with an awareness of the reader's and practitioner's problems.



Spatial Mathematics


Spatial Mathematics
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Author : Sandra Lach Arlinghaus
language : en
Publisher: CRC Press
Release Date : 2013-06-26

Spatial Mathematics written by Sandra Lach Arlinghaus and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-26 with Mathematics categories.


In terms of statistics, GIS offers many connections. With GIS, data are gathered, displayed, summarized, examined, and interpreted to discover patterns. Spatial Mathematics: Theory and Practice through Mapping uses GIS as a platform to teach mathematical concepts and skills through visualization of numbers. It examines theory and practice from disparate academic disciplines such as geography, mathematics, physics, and general social science. This approach allows students to grapple with biodiversity, crime, natural hazards, climate, energy, water, and other relevant real-world issues of the twenty-first century. Includes QR Codes Linked to Animated Maps, a Mapping Activity Site, or to an Interactive Webpage, Creating an Interactive Resource That Stays Relevant The book integrates competing philosophical views of the world: synthesis and analysis. These two approaches yield different results and employ different tools. This book considers both approaches to looking at real-world issues that have mathematics as a critical, but often unseen, component. This approach shows readers how to use mathematics to consider the broad problem at hand and to explore diverse realms in the worlds of geography and mathematics and in their interface. A truly interdisciplinary text, the book bridges the worlds of mathematics and geography and demonstrates how they are inextricably linked. It takes advantage of the convergence in citizen science, STEM education, and mapping that help readers become critical consumers of data—understanding its content, quality, limitations, and benefits. It provides thorough grounding in the analytical, statistical, and computational skills required for working in any field that uses geospatial technologies—not just surveyors and remote sensing analysts.



Recapturing Space New Middle Range Theory In Spatial Demography


Recapturing Space New Middle Range Theory In Spatial Demography
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Author : Frank M. Howell
language : en
Publisher: Springer
Release Date : 2015-11-04

Recapturing Space New Middle Range Theory In Spatial Demography written by Frank M. Howell and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-04 with Social Science categories.


With a unique focus on middle-range theory, this book details the application of spatial analysis to demographic research as a way of integrating and better understanding the different transitional components of the overall demographic transition. This book first details key concepts and measures in modern spatial demography and shows how they can be applied to middle-range theory to better understand people, places, communities and relationships throughout the world. Next, it shows middle-range theory in practice, from using spatial data as a proxy for social science statistics to examining the effect of "fracking” in Pennsylvania on the formation of new coalitions among environmental advocacy organizations. The book also traces future developments and offers some potential solutions to promoting and facilitating instruction in spatial demography. This volume is an ideal resource for advanced undergraduate and graduate students enrolled in courses involving spatial analyses in the social sciences, from sociology and political science to economics and educational research. In addition, scholars and others interested in the role that geographic context plays in relation to their research will find this book a helpful guide in further developing their work.



Spatial Mathematics


Spatial Mathematics
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Author : Sandra Lach Arlinghaus
language : en
Publisher: CRC Press
Release Date : 2019-12-22

Spatial Mathematics written by Sandra Lach Arlinghaus and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-22 with categories.


In terms of statistics, GIS offers many connections. With GIS, data are gathered, displayed, summarized, examined, and interpreted to discover patterns. Spatial Mathematics: Theory and Practice through Mapping uses GIS as a platform to teach mathematical concepts and skills through visualization of numbers. It examines theory and practice from disparate academic disciplines such as geography, mathematics, physics, and general social science. This approach allows students to grapple with biodiversity, crime, natural hazards, climate, energy, water, and other relevant real-world issues of the twenty-first century. Includes QR Codes Linked to Animated Maps, a Mapping Activity Site, or to an Interactive Webpage, Creating an Interactive Resource That Stays Relevant The book integrates competing philosophical views of the world: synthesis and analysis. These two approaches yield different results and employ different tools. This book considers both approaches to looking at real-world issues that have mathematics as a critical, but often unseen, component. This approach shows readers how to use mathematics to consider the broad problem at hand and to explore diverse realms in the worlds of geography and mathematics and in their interface. A truly interdisciplinary text, the book bridges the worlds of mathematics and geography and demonstrates how they are inextricably linked. It takes advantage of the convergence in citizen science, STEM education, and mapping that help readers become critical consumers of data--understanding its content, quality, limitations, and benefits. It provides thorough grounding in the analytical, statistical, and computational skills required for working in any field that uses geospatial technologies--not just surveyors and remote sensing analysts.



Spatial Aspects Of Crime


Spatial Aspects Of Crime
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Author : Derek J. Paulsen
language : en
Publisher: Allyn & Bacon
Release Date : 2004

Spatial Aspects Of Crime written by Derek J. Paulsen and has been published by Allyn & Bacon this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Law categories.


This first-of-its-kind text provides comprehensive coverage of the theoretical and practical aspects of crime mapping as well as hands-on instruction in the practical use of GIS for the spatial analyses of crime data. "Spatial Aspects of Crime: Theory and Practice" is the first book specifically designed to teach the theoretical and practical aspects of mapping for criminal justice purposes. The authors include the most current uses for GIS in the criminal justice system, theoretical aspects of the geography of crime and practical instruction, and exercises on how to use GIS to conduct crime mapping and spatial analysis of crime. Section III of the book is a complete GIS workbook, including exercises and sample data, to provide readers with an understanding of a full range of topics from entering data into a GIS to advanced spatial analysis methods such as hot spot analysis and density mapping.



Geospatial Health Data


Geospatial Health Data
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Author : Paula Moraga
language : en
Publisher: CRC Press
Release Date : 2019-11-26

Geospatial Health Data written by Paula Moraga and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-26 with Medical categories.


Geospatial health data are essential to inform public health and policy. These data can be used to quantify disease burden, understand geographic and temporal patterns, identify risk factors, and measure inequalities. Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R. The book covers the following topics: Manipulate and transform point, areal, and raster data, Bayesian hierarchical models for disease mapping using areal and geostatistical data, Fit and interpret spatial and spatio-temporal models with the Integrated Nested Laplace Approximations (INLA) and the Stochastic Partial Differential Equation (SPDE) approaches, Create interactive and static visualizations such as disease maps and time plots, Reproducible R Markdown reports, interactive dashboards, and Shiny web applications that facilitate the communication of insights to collaborators and policy makers. The book features fully reproducible examples of several disease and environmental applications using real-world data such as malaria in The Gambia, cancer in Scotland and USA, and air pollution in Spain. Examples in the book focus on health applications, but the approaches covered are also applicable to other fields that use georeferenced data including epidemiology, ecology, demography or criminology. The book provides clear descriptions of the R code for data importing, manipulation, modeling and visualization, as well as the interpretation of the results. This ensures contents are fully reproducible and accessible for students, researchers and practitioners.