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Uncertainty Modelling and Quality Control for Spatial Data

, quality control of spatial data, and related research issues in spatial analysis Spatial statistical solutions in spatial data quality;

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Uncertainty Modelling and Quality Control for Spatial Data

, quality control of spatial data, and related research issues in spatial analysis Spatial statistical solutions in spatial data quality;

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Spatial Data Analysis in Ecology and Agriculture Using R

> Based on the authors spatial data analysis course at the University of California, Davis, the book is intended for classroom use or self;

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Statistical Methods for Spatial Data Analysis

stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized;

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Statistical Methods for Spatial Data Analysis

stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial Data and Spatial;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial Data and Spatial;

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Interactive Spatial Data Analysis

A comprehensive, data-driven introduction to modern spatial data analysis, a field which is playing an increasing role in many areas;

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Perspectives on Spatial Data Analysis

Spatial data analysis has seen explosive growth in recent years. Both in mainstream statistics and econometrics as well as in many applied;

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Spatial Analysis with R

: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab;

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Hierarchical Modeling and Analysis for Spatial Data

data fusion/assimilation and spatial analysis for data on extremes Double the number of exercises Many more color figures integrated;

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Handbook of Big Geospatial Data

also present in this handbook. It combines fundamental contributions focusing on spatio-textual analysis, uncertain databases, and spatial;

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Spatial Analysis Methods and Practice

This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics;

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Spatial Analysis Methods and Practice

This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics;

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Spatial Data Analysis

Spatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging treatment of the field of spatial data;

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Geographical Data Science and Spatial Data Analysis

Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for;

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Spatial Data Analysis

education rather than simply training, based on the conviction that users of spatial data analysis tools should know something about how the;

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Spatial Econometrics using Microdata

This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data. Particular emphasis is put on;

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Mapping COVID-19 in Space and Time

This book describes the spatial and temporal perspectives on COVID-19 and its impacts and deepens our understanding of human dynamics;

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Spatial Analysis

spatial data analysis, spatial autocorrelation, spatial interpolation, spatial regression, and simulation and modeling, among many others. The;

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Python Geospatial Analysis Cookbook

functions * Execute spatial analysis functions on vector data including clipping, spatial joins, measuring distances, areas, and combining data to;

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Geographic Information Science

organized in topical sections such as spatial algorithms; network analysis; spatial analysis; spatial methods; user-generated data and linked data;

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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

dedicated to the analysis of spatial point process data. Sample R code and data sets are available on the author's website.;

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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

packages dedicated to the analysis of spatial point process data. Sample R code and data sets are available on the author's website.;

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Advances in Geo-Spatial Information Science

and time, spatial analysis, uncertainty modeling and geo-visualization), and new scientific and technological research initiatives for geo;

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Spatial Data Handling in Big Data Era

This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial;

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Data Prefetching Techniques in Computer Systems

, with insights on possible future research direction. Specific chapters in this release include Introduction to Data Prefetching, Spatial;

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