The Experts below are selected from a list of 901596 Experts worldwide ranked by ideXlab platform
Liliana Rojas-guyler - One of the best experts on this subject based on the ideXlab platform.
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Spatial Analysis Methods for Health Promotion and Education.
Health promotion practice, 2015Co-Authors: Robert A. Chaney, Liliana Rojas-guylerAbstract:This article provides a review of Spatial Analysis methods for use in health promotion and education research and practice. Spatial Analysis seeks to describe or make inference about variables with respect to the places they occur. This includes geographic differences, proximity issues, and access to resources. This is important for understanding how health outcomes differ from place to place; and in terms of understanding some of the environmental underpinnings of health outcomes data by placing it in context of geographic location. This article seeks to promote Spatial Analysis as a viable tool for health promotion and education research and practice. Four more commonly used Spatial Analysis techniques are described in-text. An illustrative example of motor vehicle collisions in a large metropolitan city is presented using these techniques. The techniques discussed are as follows: descriptive mapping, global Spatial autocorrelation, cluster detection, and identification and Spatial regression Analysis. This article provides useful information for health promotion and education researchers and practitioners seeking to examine research questions from a Spatial perspective.
Robert A. Chaney - One of the best experts on this subject based on the ideXlab platform.
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Spatial Analysis Methods for Health Promotion and Education.
Health promotion practice, 2015Co-Authors: Robert A. Chaney, Liliana Rojas-guylerAbstract:This article provides a review of Spatial Analysis methods for use in health promotion and education research and practice. Spatial Analysis seeks to describe or make inference about variables with respect to the places they occur. This includes geographic differences, proximity issues, and access to resources. This is important for understanding how health outcomes differ from place to place; and in terms of understanding some of the environmental underpinnings of health outcomes data by placing it in context of geographic location. This article seeks to promote Spatial Analysis as a viable tool for health promotion and education research and practice. Four more commonly used Spatial Analysis techniques are described in-text. An illustrative example of motor vehicle collisions in a large metropolitan city is presented using these techniques. The techniques discussed are as follows: descriptive mapping, global Spatial autocorrelation, cluster detection, and identification and Spatial regression Analysis. This article provides useful information for health promotion and education researchers and practitioners seeking to examine research questions from a Spatial perspective.
Daoqin Tong - One of the best experts on this subject based on the ideXlab platform.
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GIS and Spatial Analysis in the media
Applied Geography, 2009Co-Authors: Alan T. Murray, Daoqin TongAbstract:It is not uncommon to see maps and more advanced statistical or Spatial Analysis reported in the media. Geographical information systems (GIS) have no doubt facilitated access to and Analysis of Spatial information. This article is the outgrowth of contact by the Boston Globe and subsequent published articles examining structure fires and the location of fire stations in Massachusetts. The questions asked by the Boston Globe are important geographical ones regarding location specific urban/rural service provision issues, and to answer these questions requires the use of Spatial Analysis. This article focuses on the use of methods for answering the questions raised in the context of applying academic research, an issue that continues to be a challenge.
Paul A Zandbergen - One of the best experts on this subject based on the ideXlab platform.
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geocoding quality and implications for Spatial Analysis
Geography Compass, 2009Co-Authors: Paul A ZandbergenAbstract:Many Spatial Analysis techniques rely on the ability to geocode individual locations based on addresses or other descriptive information. The quality of geocoding and its effect on Spatial Analysis have received some attention in the literature, in particular in the field of health. This article reviews the foundation of geocoding and presents a framework for evaluating geocoding quality. Errors introduced by street gecoding include incompleteness, positional error, and incorrect assignment to geographic units. A review of empirical studies suggests that these errors are neither small nor random in nature and that substantial bias may be introduced in Spatial Analysis that employs the results of geocoding. Several alternatives have also emerged, including the use of address points and parcels, and these are gradually becoming more widely used. Several areas for future research on geocoding have been identified: (i) refinements of address data models to incorporate complex addressing situations; (ii) development of error propagation techniques to determine the level of geocoding quality required for a particular Analysis scenario; (iii) development of measures of reliability for geocoding results; (iv) comparative Analysis of geocoding quality across different jurisdictions; and (v) validation of online geocoding services and volunteered geographic information.
Lena Sanders - One of the best experts on this subject based on the ideXlab platform.
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Models in Spatial Analysis
2007Co-Authors: Lena SandersAbstract:This book provides an overview of models used in advanced Spatial Analysis. The models presented are related to Spatial organisation principles, localization logic, the form of Spatial interactions and their role in Spatial dynamics. The authors of the chapters come from a range of different disciplines (geography, economics, hydrology, ecology, etc.) and are specialists in their field. They use a range of methods and modelling tools developed in mathematics, statistics, artificial intelligence and physics. Some chapters propose a view on Spatial Analysis from a thematic point of view, others focus on a key concept or on a specific methodological field of Spatial Analysis.
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Introduction to Models in Spatial Analysis
2007Co-Authors: Lena SandersAbstract:The book 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. This introductory chapter proposes a discussion on the different meanings which are given to models in the field of Spatial Analysis depending on the formalization framework (statistics, GIS, computational approach). Core concepts as Spatial interaction and level of modelling are discussed.
