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Special Issue "Spatial Denominators: Modeling Population and Demographic Distributions"
A special issue of Data (ISSN 2306-5729).
Deadline for manuscript submissions: closed (30 November 2018).
Interests: Human-environment dynamics; Land systems; Human population mapping; Climate variability/change; Remote sensing and Geospatial analysis
Special Issues and Collections in MDPI journals
Fundamental to applications, including health, economic development, humanitarian relief, and changes attributable to land use and climate dynamics, is the spatiotemporal knowledge of the distribution, movement and concentration of human population. While census data is a historical source of population data, the past few decades have seen advancements in the techniques and data sources used for creating gridded population products. These gridded population products provide a spatially-explicit human denominator, from which a multitude of other research and policy initiatives rely, making, not only the accuracy of the population data important, but also a need to understand how that population data was created and appropriate applications for use. Gridded population datasets also provide timely measuring and mapping of residential or ambient population patterns over decades, with different underlying methods informing the relevant application and use of subsequent population data sets for further studies.
This Special Issue aims to publish research on measuring, mapping and modeling the human denominator at small or large spatial scales. In particular, we seek novel ways of treating data and statistically describing associations of measured or estimated population counts with associated covariates, both over time and space. To complement information and details of underlying methods and data construction, authors should also address issues of potential endogeneity, temporal specificity and spatial conformity in further use of the data.
We invite submissions that address the following topics:
- Construction and method development of gridded population data
(including ancillary data)
- Spatial demographic mapping
- Production of gridded population datasets from various data sources (censuses, surveys, mobile phones, voluntary geographic information)
- Use of Earth Observation and other geospatial data for informing population distributions
- Comparison and discussion of population modelling approaches
- Measuring uncertainty in spatial demographics
- Gridded population dynamics, modeling over space and time
Dr. Catherine Linard
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. Data 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.