Applied Gis And Spatial Analysis
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Author | : John Stillwell |
Publisher | : John Wiley & Sons |
Total Pages | : 428 |
Release | : 2003-11-07 |
Genre | : Science |
ISBN | : 9780470844090 |
Only applications-driven book dealing with commerically-sponsored spatial analysis research. Focuses on business and public sector planning case studies, offering readers a snapshot of the use of spatial analysis across a broad range of areas. Internationally-renowned editors and contributors present a broad variety of global applications, and demonstrate GIS components and spatial methodologies in practice.
Author | : Kakoli Saha |
Publisher | : Taylor & Francis |
Total Pages | : 183 |
Release | : 2021-12-07 |
Genre | : Architecture |
ISBN | : 100047867X |
This book introduces the usage, functionality, and application of data in geographic information systems (GIS) for geo-spatial analysis. It offers knowledge on GIS tools and techniques and explains how they can be applied in real-world project to architects and planners in the Indian and the Greater South Asian context using open-source software. The volume explains concepts on planning and architectural tasks, their data, methods and requirements followed, and includes GIS-related exercises on the same tasks. It takes the reader through the concepts of geo-spatial analysis and its referencing system while quoting examples from India. Further, the content of the book will help the planners involved in preparing GIS-based master planning for cities under the Atal Mission for Rejuvenation and Urban Transformation (AMRUT) scheme (see Glossary for details). A practical guidebook providing a step-by-step guide to learn open source GIS, this book will be useful for students, scholars and professionals from the field of architecture and planning, geography and other spatial sciences, instructors of GIS courses on planning and architecture, urban and regional planners, transport planners, urban design, landscape architects, environmental planners, departments of town and country planning, and development authorities. It will also be useful for anyone interested in the geospatial analysis.
Author | : Roger S. Bivand |
Publisher | : Springer Science & Business Media |
Total Pages | : 414 |
Release | : 2013-06-21 |
Genre | : Medical |
ISBN | : 1461476186 |
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 | : Francine L. Dolins |
Publisher | : Cambridge University Press |
Total Pages | : 461 |
Release | : 2021-02-18 |
Genre | : Nature |
ISBN | : 1107062306 |
A primatologist's guide to using geographic information systems (GIS); from mapping and field accuracy, to tracking travel routes and the impact of logging.
Author | : George Grekousis |
Publisher | : Cambridge University Press |
Total Pages | : 535 |
Release | : 2020-06-11 |
Genre | : Reference |
ISBN | : 1108498981 |
An introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.
Author | : Dimitris Ballas |
Publisher | : Routledge |
Total Pages | : 367 |
Release | : 2017-09-18 |
Genre | : Science |
ISBN | : 1317638824 |
GIS and the Social Sciences offers a uniquely social science approach on the theory and application of GIS with a range of modern examples. It explores how human geography can engage with a variety of important policy issues through linking together GIS and spatial analysis, and demonstrates the importance of applied GIS and spatial analysis for solving real-world problems in both the public and private sector. The book introduces basic theoretical material from a social science perspective and discusses how data are handled in GIS, what the standard commands within GIS packages are, and what they can offer in terms of spatial analysis. It covers the range of applications for which GIS has been primarily used in the social sciences, offering a global perspective of examples at a range of spatial scales. The book explores the use of GIS in crime, health, education, retail location, urban planning, transport, geodemographics, emergency planning and poverty/income inequalities. It is supplemented with practical activities and datasets that are linked to the content of each chapter and provided on an eResource page. The examples are written using ArcMap to show how the user can access data and put the theory in the textbook to applied use using proprietary GIS software. This book serves as a useful guide to a social science approach to GIS techniques and applications. It provides a range of modern applications of GIS with associated practicals to work through, and demonstrates how researcher and policy makers alike can use GIS to plan services more effectively. It will prove to be of great interest to geographers, as well as the broader social sciences, such as sociology, crime science, health, business and marketing.
Author | : Martin Wegmann |
Publisher | : Pelagic Publishing Ltd |
Total Pages | : 372 |
Release | : 2020-09-14 |
Genre | : Science |
ISBN | : 1784272140 |
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
Author | : Yuji Murayama |
Publisher | : Springer Science & Business Media |
Total Pages | : 301 |
Release | : 2011-02-26 |
Genre | : Science |
ISBN | : 9400706715 |
Currently, spatial analysis is becoming more important than ever because enormous volumes of spatial data are available from different sources, such as GPS, Remote Sensing, and others. This book deals with spatial analysis and modelling. It provides a comprehensive discussion of spatial analysis, methods, and approaches related to human settlements and associated environment. Key contributions with empirical case studies from Iran, Philippines, Vietnam, Thailand, Nepal, and Japan that apply spatial analysis including autocorrelation, fuzzy, voronoi, cellular automata, analytic hierarchy process, artificial neural network, spatial metrics, spatial statistics, regression, and remote sensing mapping techniques are compiled comprehensively. The core value of this book is a wide variety of results with state of the art discussion including empirical case studies. It provides a milestone reference to students, researchers, planners, and other practitioners dealing the spatial problems on urban and regional issues. We are pleased to announce that this book has been presented with the 2011 publishing award from the GIS Association of Japan. We would like to congratulate the authors!
Author | : Robert Stimson |
Publisher | : Edward Elgar Publishing |
Total Pages | : 396 |
Release | : 2012-01-01 |
Genre | : Science |
ISBN | : 1781007969 |
This timely and fascinating book illustrates how applied geography can contribute in a multitude of ways to assist policy processes, evaluate public programs, enhance business decisions, and contribute to formulating solutions for community-level problems. The book showcases studies by applied geographers from across the globe collaborating with the public sector, businesses, NGOs and communities to demonstrate how geography Ð with its space and place perspective and its explicitly spatial methods and tools Ð has been employed to address significant real-world issues. The 20 case studies have been conducted at a variety of levels of scale and situational contexts, and employ a range of quantitative and qualitative approaches including spatial and statistical modelling, Geographic Information Systems (GIS), impact analysis and action research. This enlightening and informative book will prove an invaluable reference tool for academics, students and practitioners with a specific interest in applied geography and spatial analysis.
Author | : Michael John De Smith |
Publisher | : Troubador Publishing Ltd |
Total Pages | : 417 |
Release | : 2007 |
Genre | : Mathematics |
ISBN | : 1905886608 |
Addresses a range of analytical techniques that are provided within modern Geographic Information Systems and related geospatial software products. This guide covers: the principal concepts of geospatial analysis; core components of geospatial analysis; and, surface analysis, including surface form analysis, gridding and interpolation methods.