Special Issue "Advanced Technologies in Spatial Data Collection and Analysis"

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

Deadline for manuscript submissions: 30 June 2022 | Viewed by 1230

Special Issue Editors

Prof. Dr. Hartwig H. Hochmair
E-Mail Website
Guest Editor
Fort Lauderdale Research and Education Center (FLREC), University of Florida, Fort Lauderdale, FL 33314, USA
Interests: crowd-sourced spatial data; social media; non-motorized transportation; location-based services
Special Issues, Collections and Topics in MDPI journals
Dr. Gerhard Navratil
E-Mail Website
Guest Editor
Prof. Dr. Haosheng Huang
E-Mail Website
Guest Editor

Special Issue Information

Dear Colleagues,

Over the past few years, a rapid development of new hard and software technologies, algorithms, and programming libraries for the collection and analysis of geographic data has taken place to provide state-of-the art solutions to current societal questions. Examples for such technologies are wearable devices for the collection of physiological data related to human emotions, GIS cloud computing, the integration of global satellite navigation systems (GNSS) into mobile devices, application portals for the collection and sharing of volunteered geographic information, social networking platforms, environmental monitoring networks, the Internet of Things (IoT) for building smart cities and intelligent transportation systems, real-time tracking systems for public transit vehicles, ridesharing systems, and artificial intelligence and deep learning for applications such as disaster monitoring or refugee movement pattern extraction. This Special Issue calls for research contributions presenting novel techniques, applications, sensors, devices, and technologies for the collection of spatial or spatiotemporal data, and effective processing of such data (including big data), through the development or use of new algorithms, software packages, or high-performance computing infrastructures. This Special Issue also welcomes discussions and reviews of previously underexplored open spatial data sets that are of relevance to the larger geoscience community to address research questions in different scientific fields. We invite contributions from a variety of academic disciplines, including geodesy, geo-information science, computer science, cartography, geography, transportation, environmental science, and health. This Special Issue is expected to foster awareness of research directions in other fields, understanding of methods applied by other disciplines, and collaboration between these research communities.

*A fee waiver can be granted to papers received before 31 December 2021.*

Dr. Hartwig H. Hochmair
Dr. Gerhard Navratil
Prof. Dr. Haosheng Huang
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

  • geospatial open-source software packages
  • innovative data collection methods and devices
  • big data analysis
  • analysis of sensor and network data
  • text mining for geographic problems
  • geospatial artificial intelligence (GeoAI)
  • geovisual analytics and visual data mining
  • location-based questions
  • role of advanced geospatial technologies in today’s society

Published Papers (1 paper)

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

Research

Article
The Choice of Actor Variables in Agent-Based Cellular Automata Modelling Using Survey Data
Geographies 2022, 2(1), 145-160; https://doi.org/10.3390/geographies2010010 - 19 Mar 2022
Viewed by 372
Abstract
This paper considers whether existing approaches for quantifying variables in cellular automata (CA) modelling adequately incorporate all the relevant factors in typical actor decisions underpinning urban development. A survey of developers and planners is used to identify factors they incorporate to allow for [...] Read more.
This paper considers whether existing approaches for quantifying variables in cellular automata (CA) modelling adequately incorporate all the relevant factors in typical actor decisions underpinning urban development. A survey of developers and planners is used to identify factors they incorporate to allow for or proceed with development, using South East Queensland as a reference region. Three types of decision factors are identified and ranked in order of importance: those that are already modelled in CA applications; those that are not modelled but are quantifiable; and those that are not (easily) quantifiable because they are subjective in nature. Factors identified in the second category include development height/scale, open space supply, and existing infrastructure capacity. Factors identified in the third category include political intent, community opposition, and lifestyle quality. Drawing on our analysis of these factors we suggest how and to what extent survey data might be used to address the challenges of incorporating actor variables into the CA modelling of urban change. The paper represents the first attempt to review what decision factors should be included in CA modelling, and how this might be enabled. Full article
(This article belongs to the Special Issue Advanced Technologies in Spatial Data Collection and Analysis)
Show Figures

Figure 1

Back to TopTop