Advanced Spatial Analysis


Advanced Spatial Analysis
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Advanced Spatial Analysis


Advanced Spatial Analysis
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Author : Paul Longley
language : en
Publisher: ESRI, Inc.
Release Date : 2003

Advanced Spatial Analysis written by Paul Longley and has been published by ESRI, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Mathematics categories.


Advanced work on GIS applications in such fields as urban planning, transportation, and economic development



Advanced Spatial Statistics


Advanced Spatial Statistics
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Author : Daniel A. Griffith
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Advanced Spatial Statistics written by Daniel A. Griffith 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 2012-12-06 with Business & Economics categories.


In recent years there has been a growing interest in and concern for the development of a sound spatial statistical body of theory. This work has been undertaken by geographers, statisticians, regional scientists, econometricians, and others (e. g. , sociologists). It has led to the publication of a number of books, including Cliff and Ord's Spatial Processes (1981), Bartlett's The Statistical Analysis of Spatial Pattern (1975), Ripley's Spatial Statistics (1981), Paelinck and Klaassen's Spatial Economet~ics (1979), Ahuja and Schachter's Pattern Models (1983), and Upton and Fingleton's Spatial Data Analysis by Example (1985). The first of these books presents a useful introduction to the topic of spatial autocorrelation, focusing on autocorrelation indices and their sampling distributions. The second of these books is quite brief, but nevertheless furnishes an eloquent introduction to the rela tionship between spatial autoregressive and two-dimensional spectral models. Ripley's book virtually ignores autoregressive and trend surface modelling, and focuses almost solely on point pattern analysis. Paelinck and Klaassen's book closely follows an econometric textbook format, and as a result overlooks much of the important material necessary for successful spatial data analy sis. It almost exclusively addresses distance and gravity models, with some treatment of autoregressive modelling. Pattern Models supplements Cliff and Ord's book, which in combination provide a good introduction to spatial data analysis. Its basic limitation is a preoccupation with the geometry of planar patterns, and hence is very narrow in scope.



Arcview Spatial Analyst


Arcview Spatial Analyst
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Author :
language : en
Publisher:
Release Date : 1996

Arcview Spatial Analyst written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with ArcView categories.




Geospatial Analysis With Sql


Geospatial Analysis With Sql
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Author : Bonny P McClain
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-10-03

Geospatial Analysis With Sql written by Bonny P McClain and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-03 with Technology & Engineering categories.


Leverage the power of SQL to perform geospatial analysis and increase your speed and efficiency working with a variety of spatial applications such as PostGIS and QGIS Key Features Follow along with actionable instructions with this practical guide Become well-versed in advanced spatial modeling and machine learning techniques Learn best practices for performing spatial analysis from an expert spatial data analyst Book DescriptionGeospatial analysis is industry agnostic and a powerful tool for answering location questions. Combined with the power of SQL, developers and analysts worldwide rely on database integration to solve real-world spatial problems. This book introduces skills to help you detect and quantify patterns in datasets through data exploration, visualization, data engineering, and the application of analysis and spatial techniques. You will begin by exploring the fundamentals of geospatial analysis where you’ll learn about the importance of geospatial analysis and how location information enhances data exploration. Walter Tobler’s second law of geography states, “the phenomenon external to a geographic area of interest affects what goes on inside.” This quote will be the framework of the geospatial questions we will explore. You’ll then observe the framework of geospatial analysis using SQL while learning to create spatial databases and SQL queries and functions. By the end of this book, you will have an expanded toolbox of analytic skills such as PostGIS and QGIS to explore data questions and analysis of spatial information.What you will learn Understand geospatial fundamentals as a basis for learning spatial SQL Generate point, line, and polygon data with SQL Use spatial data types to abstract and encapsulate spatial structures Work with open source GIS combined with plug-ins Visualize spatial data and expand QGIS functionality with Postgres Apply location data to leverage spatial analytics Perform single-layer and multiple-layer spatial analyses Who this book is forThis book is for anyone looking to leverage their SQL knowledge to perform geospatial analysis. GIS analysts, data analysts, and data scientists with a basic understanding of both geospatial analysis and SQL will find this book useful.



Geoinformatics For Geosciences


Geoinformatics For Geosciences
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Author : Nikolaos Stathopoulos
language : en
Publisher: Elsevier
Release Date : 2023-05-26

Geoinformatics For Geosciences written by Nikolaos Stathopoulos and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-26 with Science categories.


Geoinformatics for Geosciences: Advanced Geospatial Analysis using RS, GIS and Soft Computing is a comprehensive guide to the methodologies and techniques that can be used in Earth observation data assessments, geospatial analysis, and soft computing in the geosciences. The book covers a variety of spatiotemporal problems and topics in the areas of the environment, geohazards, urban analysis, health, pollution, climate change, resources and geomorphology, among others. Sections cover environmental and climate issues, analysis of geomorphological data, hazard and disaster impacts, natural and human resources, the influence of environmental conditions, geohazards, climate change, geomorphological changes, etc., and socioeconomic challenges. Detailing up-to-date techniques in geoinformatics, this book offers in-depth, up-to-date methodologies for researchers and academics to understand how contemporary data can be combined with innovative techniques and tools in order to address challenges in the geosciences. Focuses on a variety of interdisciplinary applications using Earth observation data, GIS, and soft computing techniques to address various challenges in the geosciences Presents both innovative techniques and specific features of the practices described, thus allowing readers to choose the most appropriate method to apply to their specific problems Comprehensively details the state-of-the-art methodologies and decision-making tools included to ensure they are easily reproduceable



Gis Spatial Analysis And Modeling


Gis Spatial Analysis And Modeling
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Author : David J. Maguire
language : en
Publisher: Esri Press
Release Date : 2005

Gis Spatial Analysis And Modeling written by David J. Maguire and has been published by Esri Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.


A guide for geographic analysts, modelers, software engineers, and GIS professionals, this book discusses agent-based modeling, dynamic feedback and simulation modeling, as well as links between models and GIS software. This collection also presents a state-of-the-art understanding of applications based on environmental, atmospheric, hydrological, urban, social, health, and economic models.



Geospatial Data Analytics And Urban Applications


Geospatial Data Analytics And Urban Applications
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Author : Sandeep Narayan Kundu
language : en
Publisher: Springer Nature
Release Date : 2022-01-03

Geospatial Data Analytics And Urban Applications written by Sandeep Narayan Kundu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-03 with Computers categories.


This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. With a connected world, we are generating spatial at unprecedented rates which can be harnessed for insightful analytics which define the way we analyze past events and define the future directions. This book is an anthology of applications of spatial data and analytics performed on them for gaining insights which can be used for problem solving in an urban setting. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data. The book shall benefit mature researchers and student alike to discourse a variety of urban applications which display the use of machine learning algorithms on spatial big data for real-world problem solving.



Spatial Big Data Bim And Advanced Gis For Smart Transformation


Spatial Big Data Bim And Advanced Gis For Smart Transformation
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Author : Sara Shirowzhan
language : en
Publisher: MDPI
Release Date : 2020-12-02

Spatial Big Data Bim And Advanced Gis For Smart Transformation written by Sara Shirowzhan and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-02 with Technology & Engineering categories.


This book covers a range of topics including selective technologies and algorithms that can potentially contribute to developing an intelligent environment and smarter cities. While the connectivity and efficiency of smart cities is important, the analysis of the impact of construction development and large projects in the city is crucial to decision and policy makers, before the project is approved. This book also presents an agenda for future investigations to address the need for advanced tools such as mobile scanners, Geospatial Artificial Intelligence, Unmanned Aerial Vehicles, Geospatial Augmented Reality apps, Light Detection, and Ranging in smart cities. Some of selected specific tools presented in this book are as a simulator for improving the smart parking practices by modelling drivers with activity plans, a bike optimization algorithm to increase the efficiency of bike stations, an agent-based model simulation of human mobility with the use of mobile phone datasets. In addition, this book describes the use of numerical methods to match the network demand and supply of bicycles, investigate the distribution of railways using different indicators, presents a novel algorithm of direction-aware continuous moving K-nearest neighbor queries in road networks, and presents an efficient staged evacuation planning algorithm for multi-exit buildings.



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.



Models In Spatial Analysis


Models In Spatial Analysis
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Author : Lena Sanders
language : en
Publisher: John Wiley & Sons
Release Date : 2013-03-01

Models In Spatial Analysis written by Lena Sanders and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-01 with Science categories.


This title provides a broad overview of the different types of models used in advanced spatial analysis. The models concern spatial organization, location factors and spatial interaction patterns from both static and dynamic perspectives. Each chapter gives a broad overview of the subject, covering both theoretical developments and practical applications. The advantages of an interdisciplinary approach are illustrated in the way that the viewpoint of each of the individual disciplines are brought together when considering questions relevant to spatial analysis. The authors of the chapters come from a range of different disciplines (geography, economy, hydrology, ecology, etc.) and are specialists in their field. They use a range of methods and modeling tools developed in mathematics, statistics, artificial intelligence and physics.