The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use
Stefan Leyk,Andrea E. Gaughan,Andrea E. Gaughan,Susana B. Adamo,Alex de Sherbinin,Deborah Balk,Sergio Freire,Amy Rose,Forrest R. Stevens,Forrest R. Stevens,Brian Blankespoor,Charlie Frye,Joshua Comenetz,Alessandro Sorichetta,Kytt MacManus,Linda Pistolesi,Marc A. Levy,Andrew J. Tatem,Martino Pesaresi +18 more
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TLDR
A set of large-scale gridded datasets representing population counts or densities is presented, compares and discusses and focuses on data properties, methodological approaches and relative quality aspects that are important to fully understand the characteristics of the data with regard to the intended uses.Abstract:
. Population data represent an essential component in
studies focusing on human–nature interrelationships, disaster risk
assessment and environmental health. Several recent efforts have produced
global- and continental-extent gridded population data which are becoming
increasingly popular among various research communities. However, these data
products, which are of very different characteristics and based on different
modeling assumptions, have never been systematically reviewed and compared,
which may impede their appropriate use. This article fills this gap and
presents, compares and discusses a set of large-scale (global and
continental) gridded datasets representing population counts or densities.
It focuses on data properties, methodological approaches and relative
quality aspects that are important to fully understand the characteristics
of the data with regard to the intended uses. Written by the data producers
and members of the user community, through the lens of the “fitness for
use” concept, the aim of this paper is to provide potential data users with
the knowledge base needed to make informed decisions about the
appropriateness of the data products available in relation to the target
application and for critical analysis.read more
Citations
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Satellite imaging reveals increased proportion of population exposed to floods
Beth Tellman,Beth Tellman,J. Sullivan,J. Sullivan,C. Kuhn,Albert J. Kettner,Colin Doyle,G. R. Brakenridge,Tyler A. Erickson,D. A. Slayback +9 more
TL;DR: In this paper, the authors used daily satellite imagery at 250-metre resolution to estimate flood extent and population exposure for 913 large flood events from 2000 to 2018, and determined a total inundation area of 2.23 million square kilometres with 255-290 million people directly affected by floods.
Journal ArticleDOI
Using satellite imagery to understand and promote sustainable development
TL;DR: In this paper, the authors synthesize the growing literature that uses satellite imagery to understand sustainable development outcomes, with a focus on approaches that combine imagery with machine learning, highlighting how this noise often leads to incorrect assessment of model performance.
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Using satellite imagery to understand and promote sustainable development
TL;DR: In this paper, the authors synthesize the growing literature that uses satellite imagery to understand sustainable development outcomes, with a focus on approaches that combine imagery with machine learning, and quantify the paucity of ground data on key human-related outcomes and the growing abundance and resolution (spatial, temporal and spectral) of satellite imagery.
Journal ArticleDOI
Two centuries of settlement and urban development in the United States
Stefan Leyk,Johannes H. Uhl,Dylan Shane Connor,Anna E. Braswell,Anna E. Braswell,Nathan Mietkiewicz,Nathan Mietkiewicz,Jennifer K. Balch,Jennifer K. Balch,Myron P. Gutmann +9 more
TL;DR: Temporally consistent metrics reveal distinct long-term urban development patterns characterizing processes such as settlement expansion and densification at fine granularity, and it is demonstrated that these settlement measures are robust proxies for population throughout the record and thus potential surrogates for estimating population changes at fine scales.
Journal ArticleDOI
Combining expert and crowd-sourced training data to map urban form and functions for the continental US.
TL;DR: This work maps the continental United States into Local Climate Zone (LCZ) types at a 100 m spatial resolution using expert and crowd-sourced information and aims to assess how the configuration, size, and shape of cities impact the important human and environmental outcomes.
References
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TL;DR: In this paper, the authors present a method for estimating risk and risk of cancer in public health data using statistical methods for spatial data in the context of geographic information systems (GISs).