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Dasymetric Modelling of Population Distribution – Large Data Approach Cover

Dasymetric Modelling of Population Distribution – Large Data Approach

Quaestiones Geographicae
Volume 38 (2019): Issue 1 (March 2019)
By: Anna Dmowska  
Open Access
|Mar 2019

Figures & Tables

Fig. 1

Process of handling large datasets in R.
Process of handling large datasets in R.

Fig. 2

Framework of calculation dasymetric modelling in R.
Framework of calculation dasymetric modelling in R.

Fig. 3

The city of Frisco, TX located in Collin and Denton county.(A) Land cover map for 1992 based on 1992/2001 Retrofit Land Cover Change Product. (B) NLCD 2001. (C) NLCD 2011. (D–F) Land cover data reclassified into 3 categories. (G–I) Block level population data. (J–L) Population density shown in 30 m resolution grids.NLCD 2001, 2011: 11 – open water; 12 – ice/snow; 21 – developed, open space; 22 – developed, low intensity; 23 – developed, medium intensity; 24 – developed, high intensity; 31 – barren land; 41 – deciduous forest, 42 – evergreen forest, 43 – mixed forest, 52 – shrub/scrub; 71 – grassland; 81 – pasture/hay; 82 – cultivated crops, 90 – woody/wetlands, 95 – emergent wetlands.LC1992: 1 – open water; 2 – urban; 3 – barren; 4 – forest; 5 – grass/shrub; 6 – wetlands; 7 – wetlands; 8 – ice/snowAncillary data: 0 – uninhabited; 1 – urban areas; 2 – nonurban areas.
The city of Frisco, TX located in Collin and Denton county.(A) Land cover map for 1992 based on 1992/2001 Retrofit Land Cover Change Product. (B) NLCD 2001. (C) NLCD 2011. (D–F) Land cover data reclassified into 3 categories. (G–I) Block level population data. (J–L) Population density shown in 30 m resolution grids.NLCD 2001, 2011: 11 – open water; 12 – ice/snow; 21 – developed, open space; 22 – developed, low intensity; 23 – developed, medium intensity; 24 – developed, high intensity; 31 – barren land; 41 – deciduous forest, 42 – evergreen forest, 43 – mixed forest, 52 – shrub/scrub; 71 – grassland; 81 – pasture/hay; 82 – cultivated crops, 90 – woody/wetlands, 95 – emergent wetlands.LC1992: 1 – open water; 2 – urban; 3 – barren; 4 – forest; 5 – grass/shrub; 6 – wetlands; 7 – wetlands; 8 – ice/snowAncillary data: 0 – uninhabited; 1 – urban areas; 2 – nonurban areas.

Characteristics of broad-scale population grids_

ProjectRegionResolutionTimestampAvailability
WorldPopSouth America, Central America, Africa, Asia100 m (country), 1 km (continent)2010–2020 with 5 year intervalhttp://www.worldpop.org.uk
LandScanworld-wide1 km2000–2017 with 1 year intervalhttps://landscan.ornl.gov
GPWv4world-wide1 km2000, 2010, 2015, 2020http://sedac.ciesin.columbia.edu
E.U. pop gridEuropean Union countries100 m2000http://www.eea.europa.eu
Australian pop.gridAustralia1 km2011http://www.abs.gov.au
SEDAC-USAUnited States1 km (USA), 250 m (MSA)1990, 2000, 2010http://sedac.ciesin.columbia.edu
SocScapeUnited States30 m1990, 2000, 2010http://sil.uc.edu
DOI: https://doi.org/10.2478/quageo-2019-0008 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103
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Language: English
Page range: 15 - 27
Submitted on: Jan 4, 2019
Published on: Mar 29, 2019
Published by: Adam Mickiewicz University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
population grids,
dasymetric modelling,
R
Related subjects:
Geosciences,
Geography

© 2019 Anna Dmowska, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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