README file for 'Dataset for Tools for mapping multi-scale settlement patterns of building footprints: An introduction to the R package foot'

Dataset DOI: 10.5258/SOTON/D1674

ReadMe Author: Warren C. Jochem, University of Southampton, UK (ORCID: 0000-0003-2192-5988)
Contact: w.c.jochem@soton.ac.uk

Date of data collection: 2018
Geographic Coverage: England, Scotland and Wales

This dataset supports the publication:
Warren C. Jochem and Andrew J. Tatem. "Tools for mapping multi-scale settlement patterns of building footprints: An introduction to the R package foot." PLOS ONE.

Description:
The archive contains the results of the case study analysing the morphological patterns of building footprints covering Great Britain (England, Scotland, and Wales). The input data for the analyses were 2D polygon representations of structures released by Ordnance Survey's OS OpemMap Local for 2018 (Contains Ordnance Survey data © Crown copyright and database right 2018) from the source: https://osdatahub.os.uk/downloads/open/OpenMapLocal. The building polygons were processed using the R software package 'foot' (https://github.com/wpgp/foot) to produce individual layers descrbing morphological characteristics (e.g. area, perimeter). The morphology layers were then grouped using an unsupervised classification algorithm (Gaussian mixture modelling) to produce a 6-class settlement typology layer. The resulting, classfied settlement layer is included as well as two sets of outputs from the morphology calculations -- one with and one without a 250 m focal radius.

Format:
All datasets are released as single-band GeoTiff layers (a gridded geospatial format). The morphology metrics are 32-bit floating point rasters. The settlement classification layer is an 8-bit integer raster.

Coordinate reference information: OSGB 1936/British National Grid, EPSG: 27700

Spatial extent (Lat, Lon):
60.670186, -9.230637
60.670186, -9.234504
55.636763, -9.234504
60.670186, -9.234504
60.670186, -9.230637

Spatial resolution: 100 m x 100 m

Files:
GB_mbclust6_3x3maj.tif - Classified, gridded settlement layer at 100 m spatial resoultion, derived from footprint patterns.

Morphology file list (GB_foot_layers.zip):
File name patterns: GB_100m_[metric]_[summary](_[focal radius]).tif
Note that if a focal radius was not used in the processing, that portion of the filename is not present.

GB_100m_angle_entropy.tif
GB_100m_angle_entropy_250.tif
GB_100m_area_cv.tif
GB_100m_area_cv_250.tif
GB_100m_area_max.tif
GB_100m_area_max_250.tif
GB_100m_area_mean.tif
GB_100m_area_mean_250.tif
GB_100m_area_min.tif
GB_100m_area_min_250.tif
GB_100m_area_sum.tif
GB_100m_area_sum_250.tif
GB_100m_compact_cv.tif
GB_100m_compact_cv_250.tif
GB_100m_compact_max.tif
GB_100m_compact_max_250.tif
GB_100m_compact_mean.tif
GB_100m_compact_mean_250.tif
GB_100m_compact_min.tif
GB_100m_compact_min_250.tif
GB_100m_compact_sum.tif
GB_100m_compact_sum_250.tif
GB_100m_perimeter_cv.tif
GB_100m_perimeter_cv_250.tif
GB_100m_perimeter_max.tif
GB_100m_perimeter_max_250.tif
GB_100m_perimeter_mean.tif
GB_100m_perimeter_mean_250.tif
GB_100m_perimeter_min.tif
GB_100m_perimeter_min_250.tif
GB_100m_perimeter_sum.tif
GB_100m_perimeter_sum_250.tif
GB_100m_settled_binary.tif
GB_100m_settled_binary_250.tif
GB_100m_settled_count.tif
GB_100m_settled_count_250.tif
GB_100m_shape_cv.tif
GB_100m_shape_cv_250.tif
GB_100m_shape_max.tif
GB_100m_shape_max_250.tif
GB_100m_shape_mean.tif
GB_100m_shape_mean_250.tif
GB_100m_shape_min.tif
GB_100m_shape_min_250.tif
GB_100m_shape_sum.tif
GB_100m_shape_sum_250.tif

Related projects:
WorldPop; Geo-referenced Infrastructure and Deomgraphic Data for Development (GRID3) (OPP1182408)

Acknowledgements:
These data are part of a larger work undertaken by members of the WorldPop Research Group at the University of Southampton (Chris Jochem, Edith Darín, Claire Dooley, Doug Leasure) with support from Andy Tatem and Attila Lazar. Funding support comes from the Bill and Melinda Gates Foundation and the United Kingdom Foreign, Commonwealth & Development Office as part of the Geo-Referenced Infrastructure and Demographic Data for Development project (GRID3) (OPP1182408). Project partners in GRID3 include the WorldPop Research Group, the United Nations Population Fund, the Flowminder Foundation, and the Center for International Earth Science Information Network within the Earth Institute at Columbia University.

Dataset available under a CC BY 4.0 licence

Publisher: University of Southampton, UK.

Date: December 2020