2018
DOI: 10.1088/1748-9326/aad2e3
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Built-up expansion between 2001 and 2011 in South America continues well beyond the cities

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Cited by 35 publications
(32 citation statements)
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“…These interactions between urban and peri-urban areas tend to be stronger in the case of small and medium cities [73]. For example, the small and medium urban centers tend to rely on agricultural produce from their peri-urban areas more than their larger counterparts [72,74]. Also, it is common in peri-urban regions in developing countries for people to commute to work between the city and their villages or towns nearby [75,76].…”
Section: What Types Of Land Covers Are Lost To Urban Expansion?mentioning
confidence: 99%
“…These interactions between urban and peri-urban areas tend to be stronger in the case of small and medium cities [73]. For example, the small and medium urban centers tend to rely on agricultural produce from their peri-urban areas more than their larger counterparts [72,74]. Also, it is common in peri-urban regions in developing countries for people to commute to work between the city and their villages or towns nearby [75,76].…”
Section: What Types Of Land Covers Are Lost To Urban Expansion?mentioning
confidence: 99%
“…To evaluate infrastructure expansion in South America, we used an infrastructure change map (2001-2011) created by Andrade-Núñez and Aide [22]. We define infrastructure following the definition of built-up structure used in the Global Human Settlement Layer (GHSL) which is defined as an ' enclosed construction above ground intended or used for the shelter of humans, animals, things or for the production of economic goods or the delivery of services' [25,26].…”
Section: Nighttime Light (Ntl) Datamentioning
confidence: 99%
“…NTL images have a spatial resolution of approximately 1 km×1 km and use digital number (DN) value of each pixel in a range from 0 (no lights) to 63 (brightest lights) to represent light intensity (or brightness) of anthropogenic lights from human settlements, industrial lights, and other sites with persistent light [28]. The countries of South America have high levels of electrification (70%-100%), facilitating the use of NTL data as a proxy for the built environment (e.g., cities, towns, farms, hydroelectric dams, mining and industrial areas) [22]. NTL data were classified into three classes along an infrastructure compactness gradient: no-development (ND) (DN=0), scattered (SC) (DN>0 and <30), and aggregated (AG) (DN30) (figure S1 is available online at stacks.iop.org/ERC/2/021002/mmedia).…”
Section: Nighttime Light (Ntl) Datamentioning
confidence: 99%
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