World population in a grid of spherical quadrilaterals

Tobler, Waldo; Deichmann, Uwe; Gottsegen, Jon; Maloy, Kelly

doi:10.1002/(sici)1099-1220(199709)3:3<203::aid-ijpg68>3.0.co;2-c

Cited by 140 publications

(81 citation statements)

References 23 publications

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“…New approaches to collecting consistently defined data over wide geographic areas on urban form, size, and population. Efforts are underway using administrative units (Tobler, Deichmann, Gottsegen, & Maloy, 1997;UNEP, 2002), satellite data (Dobson, Bright, Coleman, Durfee, & Worley, 2000), and the distribution of nighttime lights (Elvidge, Baugh, Kihn, Kroehl, & Davis, 1997;Pozzi, Small, & Yetman, 2003). For example, CIESIN's Global Rural Urban Mapping Project has developed a globally consistent map of urban extents (polygons) and urban populations for cities with populations greater than 5,000 (O'Neill & Balk, 2001).…”

Section: Gaps and Weakness In Urban Data Acquisitionmentioning

confidence: 99%

The Environmental, Social, and Health Dimensions of Urban Expansion

Redman

Jones

2005

Popul Environ

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In the coming decades, the world's rapid urbanization will be one of the greatest challenges to ensuring human welfare and a viable global environment. According to current estimates, cities occupy 4% or less of the world's terrestrial surface, yet they are home to almost half the global population, consume close to three-quarters of the world's natural resources, and generate three-quarters of its pollution and wastes. Moreover, the UN estimates that virtually all net global population and economic growth over the next 30 years will occur in cities, leading to a doubling of current populations. This growth will require unprecedented investment in new infrastructure and create undreamed of challenges for political and social institutions.Nowhere are the opportunities more promising or challenges to sustainability more daunting than in the rapidly urbanizing regions of the world. These transforming regions represent the engines of economic growth for the developing world and, everywhere will continue to be the centers of innovation, culture, and the arts. These same cities, however, are the loci of increasing poverty, pollution, disease, political instability, and social inequality. The transformation of surrounding land due to urban expansion and urban dwellers ever-increasing demand for energy, food, goods, and other resources is behind the degradation of local and regional environments, threatening basic ecosystem services and global biodiversity.

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Section: Gaps and Weakness In Urban Data Acquisitionmentioning

confidence: 99%

The Environmental, Social, and Health Dimensions of Urban Expansion

Redman

Jones

2005

Popul Environ

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“…A US Census Gridded Population dataset (CIESIN, 2005) and population grids from the Global Rural Urban Mapping Project (GRUMP) dataset (CIESIN, 2004) depict the distribution of human population within the United States and across the globe, respectively, at a resolution of 30 arcsec. Both datasets result from methods that transform population data from their native irregularly shaped spatial units (vector format), which are usually administrative and of varying shape, size, and resolution, to a regular raster grid of quadrilateral latitude-longitude cells at a fixed resolution (Tobler et al, 1997;Deichmann et al, 2001;. In particular, grids of US Census data were created by taking population counts at the census block-level and proportionally allocating them to an overlapping 30 arcsec latitude-longitude quadrilateral grid (CIESIN, 2005).…”

Section: Population Data Transformationmentioning

confidence: 99%

Observations of urban and suburban environments with global satellite scatterometer data

Nghiem¹,

Balk²,

Rodríguez³

et al. 2009

ISPRS Journal of Photogrammetry and Remote Sensing

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“…Another important contribution is the result of a major project that converted subnational population data to gridded population data with 1,548 rows by 4,320 columns (Tobler et al 1997). The challenges of producing the gridded population data are clearly detailed in the article, such as the fact that some countries lack detailed spatial data.…”

Section: Types and Sources Of Spatial Datamentioning

confidence: 99%