2nd ed. — Springer, 2013. — 414 p. — ISBN: 1461476178, 9781461476177. 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...
Wiley, 2008. — 560 р. — ISBN: 9780470014912. Spatial point processes are mathematical models used to describe and analyse the geometrical structure of patterns formed by objects that are irregularly or randomly distributed in one-, two- or three-dimensional space. Examples include locations of trees in a forest, blood particles on a glass plate, galaxies in the universe, and...
CRC Press, 2012. — 636 p. — ISBN: 1439819130, 9781439819135. Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture.. Written in terms of four data sets easily accessible online, this book guides the...
Springer, 2010. — 308 p. — ISBN: 978-0-387-92256-0. Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more. This book covers the best-known spatial models for three types of spatial data: geostatistical data (stationarity, intrinsic models, variograms, spatial regression...
CRC Press, 2010. — 620 p. — ISBN: 1420072870, 9781420072877.
Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among chapters.
The...
New York: Morgan & Claypool Publishers, 2014. — 131 p. Outlier (or anomaly) detection is a very broad field which has been studied in the context of a large number of research areas like statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier detection focused on time series-based outliers...
Boca Raton: CRC Press, 2015. — 316 p. An introductory text for the next generation of geospatial analysts and data scientists, Spatial Analysis: Statistics, Visualization, and Computational Methods focuses on the fundamentals of spatial analysis using traditional, contemporary, and computational methods. Outlining both non-spatial and spatial statistical concepts, the authors...
Springer, 2008 — 378 p. — ISBN 0387781706.
Applied Spatial Data Analysis with R 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...
CRC, 2017. — 828 p. — ISBN: 978-1-4822-1021-7. Modern Statistical Methodology and Software for Analyzing Spatial Point Patterns Spatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques accessible to non-mathematicians, the...
Springer, 2011. — 82 p. — ISBN: 3642217192, 978-3642217197. The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes...
6th Edition. — John Wiley & Sons, Inc., 2018. — 700 p. — ISBN: 978-1-119-38598-1. The definitive guide to bringing accuracy to measurement, updated and supplemented Adjustment Computations is the classic textbook for spatial information analysis and adjustment computations, providing clear, easy-to-understand instruction backed by real-world practicality. From the basic terms...
Philadelphia: University of Pennsylvania, 2014. — 615 p. Язык – английский. Лекционный материал курса «Пространственный анализ данных» Пенсильванского университета, прочитанного в 2015 г. проф. Т.Е. Смитом. Курс разработан для представления студентам современных статистических методов анализа пространственных данных, таких как метод «ближайшего-соседа» анализа пространственных...
Routledge, 2021. — 620 p. — ISBN: 978-0-367-47076-0. This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight...
Boca Raton: Chapman & Hall/CRC, 2005. — 507 p. The study of statistical methods for spatial data analysis presents challenges that are fairly unique within the statistical sciences. Like few other areas, spatial statistics draws on and brings together philosophies, methodologies, and techniques that are typically taught separately in statistical curricula. Understanding spatial...
CRC Press, 2010. — 216 p. — ISBN: 1439810125, 9781439810125 Producing maps that depict the real world accurately has been a major concern of cartographers for centuries. This is especially true today as escalating access to geospatial data and the subsequent increase in user-generated content provided by Web 2.0 have significantly altered the typical processes used to produce,...
N.-Y., John Wiley and Sons, 2011. — 297 p.
Монография посвящена пространственным статистикам и их применению в геостатистике и других областях. Рассмотрено применения корреляционный функций, оптимальная пространственная интерполяция (кригинг), вариограммы, статистическое оценивание в пространственных моделях, проблема изотропии и модели с учётом анизотропии,...
CRC Press, Taylor & Francis Group, Boca Raton, FL 2010, 396 p. — ISBN: 1420059270. When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial...
John Wiley & Sons, 1993. — 461 p. — ISBN: 0471002550.
Spatial statistics-analyzing spatial data through statistical models-has proven exceptionally versatile, encompassing problems ranging from the microscopic to the astronomic. However, for the scientist and engineer faced only with scattered and uneven treatments of the subject in the scientific literature, learning how to...
Chichester, John Wiley & Sons Ltd, 2002. — 283 p.
Монография посвящена методам статистического анализа пространственных данных. Вводится понятие пространственной нестационарности и предлагаются методы анализа, использующие локальные особенности данных посредством сглаживания ядрами. Метод именуется "Географически взвешенной регрессией". Обсуждаются его обобщения, проверка...
SAGE Publications Ltd., 2015. — 336 p. — ISBN: 9781446274330. Geographic information systems (GIS) have become increasingly important in helping us understand complex social, economic, and natural dynamics where spatial components play a key role. The critical algorithms used in GIS, however, are notoriously difficult to both teach and understand, in part due to the lack of a...
JOHN Wiley & SONS. 1993. — 461 pages. ISBN: 0471002550. Spatial statistics-analyzing spatial data through statistical models-has proven exceptionally versatile, encompassing problems ranging from the microscopic to the astronomic. However, for the scientist and engineer faced only with scattered and uneven treatments of the subject in the scientific literature, learning how to...
2009. - 528p. The widespread use of Geographical Information Systems (GIS) has significantly increased the demand for knowledge about spatial analytical techniques across a range of disciplines. As growing numbers of researchers realise they are dealing with spatial data, the demand for specialised statistical and mathematical methods designed to deal with spatial data is...
Pelagic Publishing, 2020. — 233 p. — ISBN: 978-1-78427-213-5. This is a book about how environmental scientist can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing as well as GIS and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from...
Springer, 2006. — 703 p. — ISBN: 978-3-540-31190-4; ISBN: 978-3-540-25994-7. Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. As something relevant is detected in data, new questions arise, causing specific parts to be viewed in more detail. So EDA has a significant appeal:...
NY: Springer, 2001. — 295 p.
During the past twenty years spatial statistics has experienced important developments and has been applied in many fields of science. In view of these facts, spatial statistics was an important topic during the theme year on statistics at the CRM in 1997-
98. This volume contains 13 papers based on presentations by eminent researchers at four...
Sage Pub., 2013. — 200 p. — ISBN: 9781446201749. Spatial Statistics and Geostatistics is the definitive text on spatial statistics. Its focus is on spatial statistics as a distinct form of statistical analysis and it includes computer components for ArcGIS, R, SAS, and WinBUGS. The teaching and learning objective of the text is to illustrate the use of basic spatial statistics...
Boca Raton: CRC Press, 2016. - 312p.
Offers New Insight on Uncertainty Modelling
Focused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties―such as data of questionable quality―in geographic information science (GIS) applications. By using original research, current...
Springer, 2019. — 383 p. — ISBN: 9783319898056, 9783319898063. This edited volume compiles a set of papers that present various applications of spatial analysis, both traditional and contemporary, on diverse subjects in a wide range of contexts. The volume is dedicated to the memory of the late Professor Pavlos Kanaroglou, McMaster University, Canada, who greatly contributed to...
CRC Press, 2021. — 327 p. — ISBN: 9780367135591, 9780429027192, 9780367693923. Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of...
Chapman & Hall/CRC, 2004. — 488 p. — ISBN: 020349198X, 9780203491980
The study of statistical methods for spatial data analysis presents challenges that are fairly unique within the statistical sciences. Like few other areas, spatial statistics draws on and brings together philosophies, methodologies, and techniques that are typically taught separately in statistical curricula....
CRC Press, 2019. — 183 p. — (Texts in Statistical Science). — ISBN10: 0367146428. Theory of Spatial Statistics: A Concise Introduction presents the most important models used in spatial statistics, including random fields and point processes, from a rigorous mathematical point of view and shows how to carry out statistical inference. It contains full proofs, real-life examples...
Oxford: Oxford University Press, 1999. - 524 p.
This volume compiles geostatistical and spatial autoregressive data analyses involving georeferenced socioeconomic, natural resources, agricultural, pollution, and epidemiological variables. Benchmark analyses are followed by analyses of readily available data sets, emphasizing parallels between geostatistical and spatial...
New York: Wiley, 2004. — 260 p.
Spatial Statistics provides a comprehensive guide to the analysis of spatial data. Each chapter covers a particular data format and the associated class of problems, introducing theory, giving computational suggestions, and providing examples. Methods are illustrated by computer-drawn figures. The book serves as an introduction to this rapidly...
California: Esri Press, 2024. — 446 p. — ISBN-13 978-1589486102. Наука о пространственных данных Spatial Data Science will show GIS scientists and practitioners how to add and use new analytical methods from Data Science in their existing GIS platforms. By explaining how the spatial domain can provide many of the building blocks, it's critical for transforming data into...
CRC Press, 2023. — 315 р. — (The R Series). — ISBN: 978-1-032-47392-5. Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data. These aspects include how geometries are represented, coordinate reference systems (projections, datums), the fact that the Earth is round and its...
Academic Press, 2019. — 278 p. — ISBN: 978-0-12-815043-6. This book provides theoretical foundations and guides practical implementation of the Moran eigenvector spatial filtering (MESF) technique. MESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in their georeferenced data analyses. Its appeal is...
Springer International Publishing AG, 2018. — 272 p. — (Advanced Studies in Theoretical and Applied Econometrics 51) — ISBN: 3319725521. This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and...
Wiley, 2022. — 320 p. — ISBN 978-1-118-76357-5. In Spatial Analysis, two distinguished authors deliver a practical and insightful exploration of the statistical investigation of the interdependence of random variables as a function of their spatial proximity. The book expertly blends theory and application, offering numerous worked examples and exercises at the end of each...
Boca Raton: CRC Press, 2023. — 267 p. This book introduces readers to spatiotemporal analytics that are extended from spatial statistics. Spatiotemporal analytics help analysts to quantitatively recognize and evaluate the spatial patterns and their temporal trends of a set of geographic events or objects. Spatiotemporal analyses are very important in geography, environmental...
New York: Chapman and Hall/CRC, 2020. — 641 p. Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with small-area spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear regression model. The book...
ESRI Press, 2023. — 150 р. — ISBN-13: 978-1589485709. Spatial statistics empowers you to answer questions confidently and make important decisions using more than simple visual analysis. Thanks to the data and computational power now at our fingertips, data science is in every aspect of our lives. But with so many algorithms and buzzwords floating around, where do you start to...
Springer, 2010. — 291 p. This book takes both a retrospective and prospective view of the field of spatial analysis by combining selected reprints of classic articles by Arthur Getis with current observations by leading experts in the field. Four main aspects are highlighted, dealing with spatial analysis, pattern analysis, local statistics as well as illustrative empirical...
New York: ITexLi, 2016. — 154 p. This book is a collection of recent studies on applying spatial statistics in subjects such as demography, transportation, precision agriculture and ecology. Different subjects require different aspects of spatial statistics. The book will be valuable to researchers who are interested in applying statistics to spatial data, as well as graduate...
Springer, 2003. — 217 p. — (Lecture Notes in Statistics 173). — ISBN 978-0-387-00136-4. Spatial statistics and Markov Chain Monte Carlo (MCMC) techniques have each undergone major developments in the last decade. Also, these two areas are mutually reinforcing, because MCMC methods are often necessary for the practical implementation of spatial statistical inference, while new...
3rd ed. — Springer, 2007. — 256 p. — ISBN: 978-3-540-31174-4. The book is concerned with the statistical theory for locating spatial sensors. It bridges the gap between spatial statistics and optimum design theory. After introductions to those two fields the topics of exploratory designs and designs for spatial trend and variogram estimation are treated. Special attention is...
N.Y.: Wiley, 2012. — 300 p. In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highways, the location of stores alongside roads, the incidence of crime on streets and the contamination along rivers. In order to carry out analyses of those events, the researcher needs to be familiar with...
Amsterdam: Springer, 1979. — 268 p. — ISBN: 9400992351. In September 1977 a "Regional Science Symposium" was held at the Faculty of Economics of the University of Goningen in the Netherlands. The impetus in organizing this symposium was the recent estab lishmen t at the F acuIty of Economics of a group engaged in teaching and research within the field of regional science. The...
Hoboken: Wiley, 2021. — 450 p. Explore the intersection between geostatistics and functional data analysis with this insightful new reference Geostatistical Functional Data Analysis presents a unified approach to modelling functional data when spatial and spatio-temporal correlations are present. The Editors link together the wide research areas of geostatistics and functional...
Berlin: Springer, 2000. — 167 p. A novel methodology is put forward in this book, which empowers researchers to investigate and identify potential spatial processes among a set of regions. Spatial processes and their underlying functional spatial relationships are commonly observed in the geosciences and related disciplines. Examples are spatially autocorrelated random...
2nd Edition. — CRC Press, 2021. — 354 p. — ISBN13: 978-1-003-02164-3 (eBook). In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial...
Boca Raton: CRC Press, 2010. - 352p.
Written in recognition of developments in spatial data analysis that focused on differences between places, the first edition of Local Models for Spatial Analysis broke new ground with its focus on local modelling methods. Reflecting the continued growth and increased interest in this area, the second edition describes a wide range of...
New York: Wiley-Interscience, 2004. — 518 p. Intended for graduate students and researchers familiar with basic probabilistic concepts and statistical methods, this textbook gathers spatial statistical ideas developed in a broad variety of areas and discusses them in the context of routinely occurring spatial questions in public health. Waller (biostatistics, Emory University) and...
Wiley, 2022. — 320 p. — ISBN 978-1-118-76357-5. In Spatial Analysis, two distinguished authors deliver a practical and insightful exploration of the statistical investigation of the interdependence of random variables as a function of their spatial proximity. The book expertly blends theory and application, offering numerous worked examples and exercises at the end of each...
Hoboken: John Wiley & Sons, 2004. — 518 p. This is the kind of good book that gives an overview of applications in spatial statistics. It obviously lacks - since it's not a math/stats book - theorems, proofs, and demonstrations, but it does have essential ideas and explores the subject in a very friendly language. If you are in social sciences, don't loose it. If you are in stats,...
ITexLi, 2023. — 279 p. — ISBN 1803559918 9781803559919 180355990X 9781803559902 1803559926 9781803559926. Quality control has played an important role in the manufacture of goods and the creation of monuments since antiquity. From the development of Heron’s first robot and the Antikythera mechanism to today’s Internet of Things (IoT), Industry 4.0, and artificial intelligence,...
CRC Press, 2025. — 281 р. — ISBN: 978-1-032-46175-5. The book presents a general mathematical framework able to detect and to characterise, from a morphological and statistical perspective, patterns hidden in spatial data. The mathematical tools employed are Gibbs Markov processes, mainly marked point procesess with interaction, which permits us to reduce the complexity of the...
Springer International Publishing Switzerland, 2013. — 549 p. — ISBN 978-3-319-01789-1, e-ISBN 978-3-319-01790-7 11th International Conference, COSIT 2013. Scarborough, UK, September 2-6, 2013 Proceedings This volume contains papers presented at the 11th meeting of COSIT, the Conference on Spatial Information Theory. The range of topics covered highlights the interdisciplinary...
Pelagic Publishing, 2020. — 300 p. — ISBN: 978-1-78427-214-2 (EPUB). This is a book about how environmental scientist can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing as well as GIS and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from...
Pelagic Publishing, 2020. — 300 p. — ISBN: 978-1-78427-214-2 (EPUB). This is a book about how environmental scientist can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing as well as GIS and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from...
Routledge, 2021. — 620 p. — ISBN: 978-0-367-47076-0. This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight...
2nd Edition. — CRC Press, 2021. — 354 p. — ISBN13: 978-1-003-02164-3 (eBook). In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial...
Pelagic Publishing, 2020. — 300 p. — ISBN: 978-1-78427-214-2 (EPUB). This is a book about how environmental scientist can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing as well as GIS and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from...
CRC Press /Chapman & Hall, 2021. — 546 p. — (Data Science Series). — ISBN 9780429027192. Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor...
CRC Press, 2023. — 315 р. — (The R Series). — ISBN: 978-0-429-45901-6. Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data. These aspects include how geometries are represented, coordinate reference systems (projections, datums), the fact that the Earth is round and its...
London: Academic Press, 1987. — 305 p. This book will interest readers who use statistical methods to analyze meteorological fields that are correlated in both space and time. According to the authors, this is the first book on the topic since the text of L. S. Gandin in 1963. will suggest the subjects covered: Introduction: nomenclature and analysis concepts. Techniques of...
Cambridge University Press, 1987. — 343 p. This is the first comprehensive, yet clearly presented, account of statistical methods for analysing spherical data. The analysis of data, in the form of directions in space or of positions of points on a spherical surface, is required in many contexts in the earth sciences, astrophysics and other fields, yet the methodology required...
Springer International Publishing AG, 2018. — 272 p. — (Advanced Studies in Theoretical and Applied Econometrics 51) — ISBN: 3319725521. This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and...
CRC Press, 2023. — 315 р. — (The R Series). — ISBN: 978-0-429-45901-6. Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data. These aspects include how geometries are represented, coordinate reference systems (projections, datums), the fact that the Earth is round and its...
CRC Press, 2025. — 281 р. — ISBN: 978-1-003-38038-2. The book presents a general mathematical framework able to detect and to characterise, from a morphological and statistical perspective, patterns hidden in spatial data. The mathematical tools employed are Gibbs Markov processes, mainly marked point procesess with interaction, which permits us to reduce the complexity of the...
ESRI Press, 2023. — 150 р. — ISBN-13: 978-1589485709. Spatial statistics empowers you to answer questions confidently and make important decisions using more than simple visual analysis. Thanks to the data and computational power now at our fingertips, data science is in every aspect of our lives. But with so many algorithms and buzzwords floating around, where do you start to...
ESRI Press, 2023. — 150 р. — ISBN-13: 978-1589485709. Spatial statistics empowers you to answer questions confidently and make important decisions using more than simple visual analysis. Thanks to the data and computational power now at our fingertips, data science is in every aspect of our lives. But with so many algorithms and buzzwords floating around, where do you start to...
CRC Press, 2023. — 315 р. — (The R Series). — ISBN: 978-0-429-45901-6. Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data. These aspects include how geometries are represented, coordinate reference systems (projections, datums), the fact that the Earth is round and its...
CRC Press, 2025. — 281 р. — ISBN: 978-1-003-38038-2. The book presents a general mathematical framework able to detect and to characterise, from a morphological and statistical perspective, patterns hidden in spatial data. The mathematical tools employed are Gibbs Markov processes, mainly marked point procesess with interaction, which permits us to reduce the complexity of the...
CRC Press, 2025. — 281 р. — ISBN: 978-1-003-38038-2. The book presents a general mathematical framework able to detect and to characterise, from a morphological and statistical perspective, patterns hidden in spatial data. The mathematical tools employed are Gibbs Markov processes, mainly marked point procesess with interaction, which permits us to reduce the complexity of the...
Pelagic Publishing, 2020. — 233 p. — ISBN: 978-1-78427-213-5. This is a book about how environmental scientist can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing as well as GIS and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from...
М.: ДМК Пресс, 2021. — 542 c. — ISBN 978-5-97060-912-5. Эта вводная книга знакомит с приемами и методами пространственного анализа и пространственной статистики с помощью ГИС. Каждая глава представляет отдельную группу методов и метрик, объясняет, как интерпретировать результаты, и приводит практические примеры. В числе тем, рассматриваемых в книге, вы найдете: описание и...
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