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An Introduction To Spatial Data Science With Geoda


An Introduction To Spatial Data Science With Geoda
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An Introduction To Spatial Data Science With Geoda


An Introduction To Spatial Data Science With Geoda
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Author : Luc Anselin
language : en
Publisher: CRC Press
Release Date : 2024-04-26

An Introduction To Spatial Data Science With Geoda written by Luc Anselin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Science categories.


This book is the first in a two-volume series that introduces the field of spatial data science. It offers an accessible overview of the methodology of exploratory spatial data analysis. It also constitutes the definitive user’s guide for the widely adopted GeoDa open-source software for spatial analysis. Leveraging a large number of real-world empirical illustrations, readers will gain an understanding of the main concepts and techniques, using dynamic graphics for thematic mapping, statistical graphing, and, most centrally, the analysis of spatial autocorrelation. Key to this analysis is the concept of local indicators of spatial association, pioneered by the author and recently extended to the analysis of multivariate data. The focus of the book is on intuitive methods to discover interesting patterns in spatial data. It offers a progression from basic data manipulation through description and exploration to the identification of clusters and outliers by means of local spatial autocorrelation analysis. A distinctive approach is to spatialize intrinsically non-spatial methods by means of linking and brushing with a range of map representations, including several that are unique to the GeoDa software. The book also represents the most in-depth treatment of local spatial autocorrelation and its visualization and interpretation by means of GeoDa. The book is intended for readers interested in going beyond simple mapping of geographical data to gain insight into interesting patterns. Some basic familiarity with statistical concepts is assumed, but no previous knowledge of GIS or mapping is required. Key Features: • Includes spatial perspectives on cluster analysis • Focuses on exploring spatial data • Supplemented by extensive support with sample data sets and examples on the GeoDaCenter website This book is both useful as a reference for the software and as a text for students and researchers of spatial data science. Luc Anselin is the Founding Director of the Center for Spatial Data Science at the University of Chicago, where he is also the Stein-Freiler Distinguished Service Professor of Sociology and the College, as well as a member of the Committee on Data Science. He is the creator of the GeoDa software and an active contributor to the PySAL Python open-source software library for spatial analysis. He has written widely on topics dealing with the methodology of spatial data analysis, including his classic 1988 text on Spatial Econometrics. His work has been recognized by many awards, such as his election to the U.S. National Academy of Science and the American Academy of Arts and Science.



An Introduction To Spatial Data Science With Geoda


An Introduction To Spatial Data Science With Geoda
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Author : Luc Anselin
language : en
Publisher:
Release Date : 2024

An Introduction To Spatial Data Science With Geoda written by Luc Anselin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Mathematics categories.


"This book is the first in a two-volume series that introduces the field of spatial data science. It offers an accessible overview of the methodology of exploratory spatial data analysis. It also constitutes the definitive user's guide for the widely adopted GeoDa open source software for spatial analysis. Leveraging a large number of real-world empirical illustrations, readers will gain an understanding of the main concepts and techniques, using dynamic graphics for thematic mapping, statistical graphing, and, most centrally, the analysis of spatial autocorrelation. Key to this analysis is the concept of local indicators of spatial association, pioneered by the author and recently extended to the analysis of multivariate data. The focus of the book is on intuitive methods to discover interesting patterns in spatial data. It offers a progression from basic data manipulation through description and exploration, to the identification of clusters and outliers by means of local spatial autocorrelation analysis. A distinctive approach is to spatialize intrinsically non-spatial methods, by means of linking and brushing with a range of map representations, including several that are unique to the GeoDa software. The book also represents the most in-depth treatment of local spatial autocorrelation and its visualization and interpretation by means of GeoDa"--



An Introduction To Spatial Data Science With Geoda


An Introduction To Spatial Data Science With Geoda
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Author : Luc Anselin
language : en
Publisher: CRC Press
Release Date : 2024-05-29

An Introduction To Spatial Data Science With Geoda written by Luc Anselin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-29 with Mathematics categories.


This book is the second in a two-volume series that introduces the field of spatial data science. It moves beyond pure data exploration to the organization of observations into meaningful groups, i.e., spatial clustering. This constitutes an important component of so-called unsupervised learning, a major aspect of modern machine learning. The distinctive aspects of the book are both to explore ways to spatialize classic clustering methods through linked maps and graphs, as well as the explicit introduction of spatial contiguity constraints into clustering algorithms. Leveraging a large number of real-world empirical illustrations, readers will gain an understanding of the main concepts and techniques and their relative advantages and disadvantages. The book also constitutes the definitive user’s guide for these methods as implemented in the GeoDa open source software for spatial analysis. It is organized into three major parts, dealing with dimension reduction (principal components, multidimensional scaling, stochastic network embedding), classic clustering methods (hierarchical clustering, k-means, k-medians, k-medoids and spectral clustering), and spatially constrained clustering methods (both hierarchical and partitioning). It closes with an assessment of spatial and non-spatial cluster properties. The book is intended for readers interested in going beyond simple mapping of geographical data to gain insight into interesting patterns as expressed in spatial clusters of observations. Familiarity with the material in Volume 1 is assumed, especially the analysis of local spatial autocorrelation and the full range of visualization methods. Luc Anselin is the Founding Director of the Center for Spatial Data Science at the University of Chicago, where he is also Stein-Freiler Distinguished Service Professor of Sociology and the College, as well as a member of the Committee on Data Science. He is the creator of the GeoDa software and an active contributor to the PySAL Python open-source software library for spatial analysis. He has written widely on topics dealing with the methodology of spatial data analysis, including his classic 1988 text on Spatial Econometrics. His work has been recognized by many awards, such as his election to the U.S. National Academy of Science and the American Academy of Arts and Science.



Handbook Of Applied Spatial Analysis


Handbook Of Applied Spatial Analysis
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Author : Manfred M. Fischer
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-12-24

Handbook Of Applied Spatial Analysis written by Manfred M. Fischer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-24 with Business & Economics categories.


The Handbook is written for academics, researchers, practitioners and advanced graduate students. It has been designed to be read by those new or starting out in the field of spatial analysis as well as by those who are already familiar with the field. The chapters have been written in such a way that readers who are new to the field will gain important overview and insight. At the same time, those readers who are already practitioners in the field will gain through the advanced and/or updated tools and new materials and state-of-the-art developments included. This volume provides an accounting of the diversity of current and emergent approaches, not available elsewhere despite the many excellent journals and te- books that exist. Most of the chapters are original, some few are reprints from the Journal of Geographical Systems, Geographical Analysis, The Review of Regional Studies and Letters of Spatial and Resource Sciences. We let our contributors - velop, from their particular perspective and insights, their own strategies for m- ping the part of terrain for which they were responsible. As the chapters were submitted, we became the first consumers of the project we had initiated. We gained from depth, breadth and distinctiveness of our contributors’ insights and, in particular, the presence of links between them.



Statistical Modelling And Risk Analysis


Statistical Modelling And Risk Analysis
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Author : Christos P. Kitsos
language : en
Publisher: Springer Nature
Release Date : 2023-12-12

Statistical Modelling And Risk Analysis written by Christos P. Kitsos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-12 with Mathematics categories.


This volume covers the latest results on novel methods in Risk Analysis and assessment, with applications in Biostatistics (which is providing food for thought since the first ICRAs, covering traditional areas of RA, until now), Engineering Reliability, the Environmental Sciences and Economics. The contributions, based on lectures given at the 9th International Conference on Risk Analysis (ICRA 9), at Perugia, Italy, May 2022, detail a wide variety of daily risks, building on ideas presented at previous ICRA conferences. Working within a strong theoretical framework, supporting applications, the material describes a modern extension of the traditional research of the 1980s. This book is intended for graduate students in Mathematics, Statistics, Biology, Toxicology, Medicine, Management, and Economics, as well as quantitative researchers in Risk Analysis.



E Planning And Collaboration Concepts Methodologies Tools And Applications


E Planning And Collaboration Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2018-06-04

E Planning And Collaboration Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-04 with Political Science categories.


As population growth accelerates, researchers and professionals face challenges as they attempt to plan for the future. E-planning is a significant component in addressing the key concerns as the world population moves towards urban environments. E-Planning and Collaboration: Concepts, Methodologies, Tools, and Applications contains a compendium of the latest academic material on the emerging interdisciplinary areas of e-planning and collaboration. Including innovative studies on data management, urban development, and crowdsourcing, this multi-volume book is an ideal source for planners, policymakers, researchers, and graduate students interested in how recent technological advancements are enhancing the traditional practices in e-planning.



Cultural And Creative Industries And Regional Development


Cultural And Creative Industries And Regional Development
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Author : Roberto Dellisanti
language : en
Publisher: Springer Nature
Release Date : 2023-05-16

Cultural And Creative Industries And Regional Development written by Roberto Dellisanti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-16 with Business & Economics categories.


This book explores the role of the cultural and creative industries (CCIs) as drivers of local economic development. More specifically, it builds on two novel perspectives in order to interpret the phenomenon. First, despite the general recognition that CCIs are innovative economic actors, their creative output is heterogeneous, as CCIs consist of extremely diverse industries, and the concept of innovation differs from sector to sector. Second, CCIs’ creativity is locally rooted, as the context provides innovative inputs for the development of creative ideas, binding creativity with well-established theories of the regional innovation literature. The book explores these new perspectives through a novel database on CCIs’ innovation at a fine industrial and regional scale. Building on these two ideas, the book is subdivided into three parts. In the first, a novel definition of creativity in CCIs is developed in which its heterogeneity and place-based nature are at the core. In turn, the second part addresses the phenomenon of localization choices in CCIs, highlighting their heterogeneous innovativeness and the filière which they belong to as key dimensions for the analysis. In the third part, the impact of CCIs on economic growth is explored. This book offers new evidence on the conditions under which CCIs cluster in space and stimulate development. It appeals to scholars in regional science, cultural economics and related fields, as well as policymakers and practitioners working in the cultural and creative industries.



Spatial Data Analysis In Ecology And Agriculture Using R


Spatial Data Analysis In Ecology And Agriculture Using R
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Author : Richard E. Plant
language : en
Publisher: CRC Press
Release Date : 2018-12-07

Spatial Data Analysis In Ecology And Agriculture Using R written by Richard E. Plant and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Science categories.


Key features: Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data. Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods Updates its coverage of R software including newly introduced packages Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics, real-world examples, and user-friendly approach in presenting and explaining R code, aspects maintained in this update. Using data sets from cultivated and uncultivated ecosystems, the book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Additional material to accompany the book, on both analyzing satellite data and on multivariate analysis, can be accessed at https://www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.



Putting People On The Map


Putting People On The Map
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Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 2007-02-22

Putting People On The Map written by National Research Council and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-02-22 with Computers categories.


Precise, accurate spatial information linked to social and behavioral data is revolutionizing social science by opening new questions for investigation and improving understanding of human behavior in its environmental context. At the same time, precise spatial data make it more likely that individuals can be identified, breaching the promise of confidentiality made when the data were collected. Because norms of science and government agencies favor open access to all scientific data, the tension between the benefits of open access and the risks associated with potential breach of confidentiality pose significant challenges to researchers, research sponsors, scientific institutions, and data archivists. Putting People on the Map finds that several technical approaches for making data available while limiting risk have potential, but none is adequate on its own or in combination. This book offers recommendations for education, training, research, and practice to researchers, professional societies, federal agencies, institutional review boards, and data stewards.



Geography And Drug Addiction


Geography And Drug Addiction
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Author : Yonette F. Thomas
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-24

Geography And Drug Addiction written by Yonette F. Thomas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-24 with Science categories.


Making Connections: Geography and Drug Addiction Geography involves making connections – connections in our world among people and places, cultures, human activities, and natural processes. It involves understa- ing the relationships and ‘connections’ between seemingly disparate or unrelated ideas and between what is and what might be. Geography also involves connecting with people. When I rst encountered an extraordinarily vibrant, intelligent, and socially engaged scientist at a private d- ner several years ago, I was immediately captivated by the intensity of her passion to understand how and why people become addicted to drugs, and what could be done to treat or prevent drug addiction. Fortunately, she was willing to think beyond the bounds of her own discipline in her search for answers. Our conversation that evening, which began with her research on fundamental biochemical processes of drug addiction in the human body, evolved inevitably to an exploration of the ways in which research on the geographical context of drug addiction might contribute to the better understanding of etiology of addiction, its diffusion, its interaction with geographically variable environmental, social, and economic factors, and the strategies for its treatment and prevention. This fascinating woman, I soon learned, was Nora Volkow, the Director of the National Institute on Drug Abuse as well as the granddaughter of Leon Trotsky.