Special Issue "Geographical Analysis, Urban Modelling, Spatial Statistics, Econometric and Multidimensional Evaluation in Urban Environment"

A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).

Deadline for manuscript submissions: 30 September 2021.

Special Issue Editors

Prof. Dr. Beniamino Murgante
Website
Guest Editor
School of Engineering, University of Basilicata, Viale dell’Ateneo Lucano, 10, 85100 Potenza, Italy
Interests: spatial planning; spatial simulation; geodemographics; geographic data analysis of socioeconomic and population data; planning 2.0; participation 2.0; e-democracy; e-participation
Special Issues and Collections in MDPI journals
Prof. Dr. Carmelo Maria Torre
Website
Guest Editor
Department of Civil Engineering Sciences and Architecture (DiCAR), Polytechnic University of Bari, Via Orabona 4, 70125 Bari, Italy
Interests: real estate and urban economics; urban management; decision support systems in spatial planning
Special Issues and Collections in MDPI journals
Prof. Dr. Hartmut Asche
Website
Guest Editor
Hasso Plattner Institut, Digital Engineering, University of Potsdam, Potsdam, Germany
Interests: GIS; cartography; cartographic visualization; spatial analysis
Prof. Dr. Ginevra Balletto
Website
Guest Editor
Department of Civil and Environmental Engineering and Architecture (DICAAR), University of Cagliari, Via Marengo 3, 09123 Cagliari, Italy
Interests: urban and regional planning; cultural heritage; urban governance and urban policies; urban governance and urban policies (hard and soft); sport in the city
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

In recent decades, the main problem in geographical analysis has been the lack of spatial data availability. Today, the wide diffusion of electronic devices containing geo-referenced information generates a great production of spatial data. Volunteered geographic information activities (e.g., OpenStreetMap, Wikimapia), strictly public initiatives (e.g., open data, spatial data infrastructures, geo-portals) and market-oriented projects (e.g., Google Earth, Bing Maps) have produced an overabundance of spatial data, which, in many cases, do not help toward the efficiency of decision processes.

Additionally, several urban policies stress the role of evaluation as support of sustainable urban development and preservation transformation plans and programs moving into a novel conceptual framework that integrates economic, ecological, and social dimension in spatial planning.

The increase of geographical data availability has not been fully coupled with an increase of knowledge to support spatial decisions.

In this perspective, the scientific effort is related to the identification of appropriate procedures to address the deliberative structure. In fact, through organizing and facilitating communication, it is possible to build a consensus among various decision-makers and interest groups and generate compromise and solutions that best represent the preferences of all those involved in the spatial decision-making process.

The inclusion of spatial simulation techniques in recent GIS software has favored the diffusion of these methods but in several cases led to a mechanism based on which buttons one has to press without having geography or processes in mind.

Spatial modeling, analytical techniques, and geographical analyses are therefore required in order to analyze data and to facilitate the decision process at all levels, with a clear identification of the geographical information needed and reference scale to adopt.

Old geographical issues can find an answer thanks to new methods and instruments, while new issues are developing, challenging researchers for new solutions.

This Special Issue aims at providing innovative and original contributions to the ongoing debate on the abovementioned issues. Further, it is aimed at illuminating the hot topics and the fresh experimentations and ideas in multicriteria, collaborative, adaptive, and synergistic decision-making, multidimensional appraisal, and econometrics, supported by spatial data infrastructures and ICT. These approaches are spread in many scientific fields, from traditional spatial urban economics, to real estate economics and to the newest bio-econometrics. The main topics of the Special Issue are related—but not limited—to multidimensional approaches in urban economics, from the econometric approach to qualitative evaluation, new analytical and empirical approaches, hard and soft fuzzy multicriteria analysis, multidimensional computing, bio-econometrics, spatial econometrics, and MCDM in environmental, cultural, and urban economics.

Prof. Dr. Giuseppe Borruso
Prof. Dr. Beniamino Murgante
Prof. Dr. Carmelo Maria Torre  
Prof. Dr. Hartmut Asche
Prof. Dr. Ginevra Balletto
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • geographical analysis
  • urban modeling
  • spatial statistics
  • GIS
  • remote sensing
  • spatial planning
  • urban planning
  • geostatistics
  • multicriteria decision making
  • real estate values modeling
  • spatial econometrics and statistics
  • geostatistics
  • urban economics, urban geography

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Open AccessArticle
Spatial Patterns of Childhood Obesity Prevalence in Relation to Socioeconomic Factors across England
ISPRS Int. J. Geo-Inf. 2020, 9(10), 599; https://doi.org/10.3390/ijgi9100599 - 11 Oct 2020
Abstract
To examine to what extent spatial inequalities in childhood obesity are attributable to spatial inequalities in socioeconomic characteristics across a country, we aimed to investigate the spatial associations of socioeconomic characteristics and childhood obesity. We first explored spatial patterns of childhood obesity prevalence, [...] Read more.
To examine to what extent spatial inequalities in childhood obesity are attributable to spatial inequalities in socioeconomic characteristics across a country, we aimed to investigate the spatial associations of socioeconomic characteristics and childhood obesity. We first explored spatial patterns of childhood obesity prevalence, and subsequently investigated the spatial associations of socioeconomic factors and childhood obesity prevalence across England by selecting and estimating appropriate spatial regression models. As the data used are geospatial data, we used two newly developed specifications of spatial regression models to investigate the spatial association of socioeconomic factors and childhood obesity prevalence. As a result, among the two newly developed specifications of spatial regression models, the fast random effects specification of eigenvector spatial filtering (FRES-ESF) model appears to outperform the matrix exponential spatial specification of spatial autoregressive (MESS-SAR) model. Empirical results indicate that positive spatial dependence is found to exist in childhood obesity prevalence across England; and that socioeconomic factors are significantly associated with childhood obesity prevalence across England. In England, children living in areas with lower socioeconomic status are at higher risk of obesity. This study suggests effectively reducing spatial inequalities in socioeconomic status will plays a vital role in mitigating spatial inequalities in childhood obesity prevalence. Full article
Show Figures

Figure 1

Back to TopTop