Dynamic Manipulation of Spatial Weights Using Web Services

Spatial analytical tools are mostly provided in a desktop environment, which tends to restrict user access to the tools. This project intends to exploit up-to-date web technologies to extend user accessibility to spatial analytic tools. The first step is to develop web services for widely used spatial analysis such as spatial weights manipulation and provide easy-to-use web-based user interface to the services. Users can create, transform, and convert spatial weights for their data sets on web browsers without installing any specialized software.

Show me the code: Spatial analysis and open source

This paper considers the intersection of academic spatial analysis with the open source revolution. Its basic premise is that the potential for cross-fertilization between the two is rich, yet some misperceptions about these two communities pose challenges to realizing these opportunities. The paper provides a primer on the open source movement for academicians with an eye towards correcting these misperceptions. It identifies a number of ways in which increased adoption of open source practices in spatial analysis can enhance the development of the next generation of tools and the wider practice of scientific research and education.open source; spatial analysis

Realidad aumentada, WebGIS y storytelling para la docencia geográfica: una revisión bibliográfica

Innovación EducativaSe presenta un resumen con la bibliografía recopilada en el Proyecto de Innovación Docente, referida a realidad aumentada, WebGIS, cartografía y storytelling enfocados a la docencia en geografía y ciencias sociales afines. Todas las obras recogidas en el listado han podido ser consultadas a través de repositorios en Internet y en las bases de datos de la Universidad de Valladolid, y se han recopilado para poder ser consultadas en el ámbito de un grupo de innovación docenteDepartamento de Geografí

Income disparities and convergence across regions of Central Europe

This paper deals with the analysis of regional income disparities of the net disposable income of households (in Euro per inhabitant) across the regions of Central Europe (Austria, Czech Republic, Slovakia, Poland, Hungary and Germany) during the period 2000-2013. The analysis deals with the 82 NUTS 2 (Nomenclature of Territorial Units for Statistics) regions and is based on the concept of sigma-convergence, beta-convergence and growth-volatility relationship. Preliminary analysis concentrating on mapping of the analysed indicators is followed by consideration of the region’s location supported by the results of spatial autocorrelation testing. The sigma-convergence analysis reveals the persistence of disparities in the net disposable income of households in the period 2000-2013 both at the national and subnational level. Although the results of spatial analysis have proved the existence of spatial dependence, following the classical approach, the beta-convergence concept is tested with the use of both non-spatial and spatial models. The potentially different convergence characteristics of Visegrad 4 countries’ (Czech Republic, Slovakia, Poland, Hungary) regions and regions of Austria and Germany as well as the examination of the possible relationship between the regional growth and volatility are also taken into account in the econometric convergence modelling

From SpaceStat to CyberGIS: Twenty Years of Spatial Data Analysis Software

This essay assesses the evolution of the way in which spatial data analytical methods have been incorporated into software tools over the past two decades. It is part retrospective and prospective, going beyond a historical review to outline some ideas about important factors that drove the software development, such as methodological advances, the open source movement and the advent of the internet and cyberinfrastructure. The review highlights activities carried out by the author and his collaborators and uses SpaceStat, GeoDa, PySAL and recent spatial analytical web services developed at the ASU GeoDa Center as illustrative examples. It outlines a vision for a spatial econometrics workbench as an example of the incorporation of spatial analytical functionality in a cyberGIS.

Integrating Spatial Data Linkage and Analysis Services in a Geoportal for China Urban Research

Many geoportals are now evolving into online analytical environments, where large amounts of data and various analysis methods are integrated. These spatiotemporal data are often distributed in different databases and exist in heterogeneous forms, even when they refer to the same geospatial entities. Besides, existing open standards lack sufficient expression of the attribute semantics. Client applications or other services thus have to deal with unrelated preprocessing tasks, such as data transformation and attribute annotation, leading to potential inconsistencies. Furthermore, to build informative interfaces that guide users to quickly understand the analysis methods, an analysis service needs to explicitly model the method parameters, which are often interrelated and have rich auxiliary information. This work presents the design of the spatial data linkage and analysis services in a geoportal for China urban research. The spatial data linkage service aggregates multisource heterogeneous data into linked layers with flexible attribute mapping, providing client applications and services with a unified access as if querying a big table. The spatial analysis service incorporates parameter hierarchy and grouping by extending the standard WPS service, and data‐dependent validation in computation components. This platform can help researchers efficiently explore and analyze spatiotemporal data online.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/110740/1/tgis12084.pd

Morbidity and Mortality Weekly Report

Clean Slate - Input Data Latern/

Spatial Patterns of Infant Mortality in Turkey between 2011 and 2016

Health studies are important for the evaluation of health services and the improvement of poor conditions as well as for the determination of the development levels of countries. The purpose of this study was to demonstrate the spatial patterns of infant mortality, which is considered an indicator of health conditions, in Turkey between 2011 and 2016. The existence of global autocorrelation was first studied using the infant mortality rate, the standardised mortality ratio, and the infant mortality rate which was corrected by Bayes smoothers. Local spatial autocorrelation analysis was performed to determine statistically significant hot spots or clusters in infant mortality. It was determined that the spatial distribution between 2011 and 2016 was not coincidental, and aggregation tendency and spatial dependence were observed in the data. According to local spatial statistics, spatial differences of South-eastern Anatolia and Eastern Anatolia regions appeared in Turkey in terms of infant mortality. Furthermore, the factors related to the infant mortality rate were considered. It was found that the age of marriage for women, the net schooling rates of females in secondary education, the number of midwives, and the gross domestic product (GDP) were related to infant mortality rates. It is important to determine different associated factors in the provinces with high infant mortality rates found in this study and to develop an understanding of what can be done to prevent infant mortality in the future. In the South-eastern Anatolia and Eastern Anatolia regions, it is necessary to produce and implement policies with the scope of reducing the infant mortality rate

Show me the code: Spatial analysis and open source

This paper considers the intersection of academic spatial analysis with the open source revolution. Its basic premise is that the potential for cross-fertilization between the two is rich, yet some misperceptions about these two communities pose challenges to realizing these opportunities. The paper provides a primer on the open source movement for academicians with an eye towards correcting these misperceptions. It identifies a number of ways in which increased adoption of open source practices in spatial analysis can enhance the development of the next generation of tools and the wider practice of scientific research and education