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Journals
Geographies
Special Issues
Mapping of People and Places for Statistics
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Mapping of People and Places for Statistics

A special issue of Geographies (ISSN 2673-7086).

Deadline for manuscript submissions: closed (20 December 2023) | Viewed by 11341

Special Issue Editors

Dr. Gianluigi Salvucci

E-Mail Website
Guest Editor
National Institute of Statistics of Italy, 16, 00184 Rome, Italy
Interests: geography; city; urban planning; statistics; geospatial analysis; building census
Dr. Damiano Abbatini

E-Mail Website
Guest Editor
National Institute of Statistics of Italy, 16, 00184 Rome, Italy
Interests: buildings; housing; environment sociology; cities; urban rural geography
Dr. Luca Salvati

E-Mail Website
Guest Editor
Department of Economics and Law, University of Macerata, Via Armaroli 43, I-62100 Macerata, Italy
Interests: climate change; desertification; land-use; sustainable agriculture; urban sprawl; urban and rural geography
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue of Geographies aims to examine the relationship between geography and statistics in light of the increasing need for up-to-date data with high resolutions in today's world.

The ease with which geostatistical data can be produced necessitates a reflection on their reliability, accuracy, and validity.

In this context, the added value that geography can provide to both official and non-official statistics through the production of georeferenced data becomes crucial. Statistical data are intimately linked to territorial units, and are referred to as points, lines, polygons, or surfaces. Geographical analyses, based on scale, resolution, and the extent of the areas studied, offer various opportunities for integrating statistical analyses.

Dr. Gianluigi Salvucci
Dr. Damiano Abbatini
Dr. Luca Salvati
Guest Editors

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 submissions that pass pre-check are 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. Geographies is an international peer-reviewed open access quarterly 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

  • spatial data
  • statistics
  • census
  • land use-cover
  • toponomastic

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Published Papers (3 papers)

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Research

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20 pages, 3879 KiB  
Article
Understanding Spatial Autocorrelation: An Everyday Metaphor and Additional New Interpretations
by Daniel A. Griffith
Geographies 2023, 3(3), 543-562; https://doi.org/10.3390/geographies3030028 - 27 Aug 2023
Cited by 3 | Viewed by 2551
Abstract
An enumeration of spatial autocorrelation’s (SA’s) polyvalent forms occurred nearly three decades ago. Attempts to conceive and disseminate a clearer explanation of it employ metaphors seeking to better relate SA to a student’s or spatial scientist’s personal knowledge databank. However, not one of [...] Read more.
An enumeration of spatial autocorrelation’s (SA’s) polyvalent forms occurred nearly three decades ago. Attempts to conceive and disseminate a clearer explanation of it employ metaphors seeking to better relate SA to a student’s or spatial scientist’s personal knowledge databank. However, not one of these uses the jigsaw puzzle metaphor appearing in this paper, which exploits an analogy between concrete visual content organization and abstract map patterns of attributes. It not only makes SA easier to understand, which furnishes a useful pedagogic tool for teaching novices and others about it, but also discloses that many georeferenced data should contain a positive–negative SA mixture. Empirical examples corroborate this mixture’s existence, as well as the tendency for marked positive SA to characterize remotely sensed and moderate (net) positive SA to characterize socio-economic/demographic, georeferenced data. Full article
(This article belongs to the Special Issue Mapping of People and Places for Statistics)
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18 pages, 3425 KiB  
Article
A Bird’s-Eye View of Colonias Hosting Forgotten Americans and Their Community Resilience in the Rio Grande Valley
by Dean Kyne
Geographies 2023, 3(3), 459-476; https://doi.org/10.3390/geographies3030024 - 21 Jul 2023
Viewed by 2935
Abstract
Colonia communities, which host forgotten Americans, lack essential services such as portable water, adequate wastewater and solid waste disposal, adequate drainage, and adequate paved roads. The aim of this study is to investigate five key aspects of the colonias in the Rio Grande [...] Read more.
Colonia communities, which host forgotten Americans, lack essential services such as portable water, adequate wastewater and solid waste disposal, adequate drainage, and adequate paved roads. The aim of this study is to investigate five key aspects of the colonias in the Rio Grande Valley (RGV), which include the total count of colonias in the valley, their susceptibility to public health hazards, flooding occurrences, the transformations that have occurred over the past two decades, and community resilience. This research utilizes two datasets, namely the Colonia Database from the Texas Secretary of State and the community resiliency estimates from the Census Bureau. Geographical information systems (GIS) methods are employed to analyze the spatial and temporal distribution of colonia communities. The principal results reveal that colonia communities host 14% of the RGV’s total 1.37 million population. About half of the total colonia population resides in Hidalgo County, followed by Starr, Cameron, and Willacy counties. About 87% of the total colonia communities exist in census tracts characterized by low or very low community resiliency. Furthermore, 26% of the total colonia communities experiencing flooding after rainfall are in tracts with low or very low community resiliency. This study provides the major conclusion that while there have been slight improvements in the colonias’ susceptibility to public health risks within the past two decades, there still remains significant developmental work. Without tackling these challenges, achieving meaningful progress in community resilience becomes a daunting task. Applying an environmental justice lens to the issues faced by colonia communities helps shed light on the systemic inequalities and injustices they experience. Full article
(This article belongs to the Special Issue Mapping of People and Places for Statistics)
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Review

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12 pages, 1489 KiB  
Review
Geomorphological Mapping Global Trends and Applications
by Adolfo Quesada-Román and Manuel Peralta-Reyes
Geographies 2023, 3(3), 610-621; https://doi.org/10.3390/geographies3030032 - 17 Sep 2023
Cited by 19 | Viewed by 5301
Abstract
This study conducts a bibliometric analysis of 735 research papers on geomorphological mapping published in English between 2000 and 2021 using the Web of Science database. The analysis focuses on key metrics such as annual publication rates, journal distribution, common keywords, and frequently [...] Read more.
This study conducts a bibliometric analysis of 735 research papers on geomorphological mapping published in English between 2000 and 2021 using the Web of Science database. The analysis focuses on key metrics such as annual publication rates, journal distribution, common keywords, and frequently cited papers. The results demonstrate sustained investment in geomorphological mapping research over the past two decades, driven by advancements in data analysis, GIS technologies, and cross-institutional and cross-country collaboration. While European universities and research centers lead the field, researchers from Latin America and Asia are also making noteworthy contributions. However, research concentration remains largely in Europe, particularly at low altitudes. The study highlights the vital importance of investment in geomorphological mapping research and the benefits of collaboration to advance understanding and knowledge production. It also emphasizes the need for greater geographic and cultural diversity among researchers to ensure a more comprehensive and inclusive approach to research in this field. Full article
(This article belongs to the Special Issue Mapping of People and Places for Statistics)
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