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Gridded population databases: The demand side view

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20% highly altered by conversion to agriculture or urbanization. Data: Night-time lights (OLS) ... Urbanization. Agriculture. Hazards. Economic development ... – PowerPoint PPT presentation

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Title: Gridded population databases: The demand side view


1
Gridded population databases The demand side
view
  • Major usages
  • Both descriptive and analytic
  • Main areas
  • Environment Biodiversity
  • Climate
  • Hazards Emergency management
  • Land use change
  • Agriculture
  • Health
  • Urban studies
  • Economic development

2
The demand side view (continued)
  • Minor usages
  • Ready-to-go denominator
  • Example used in Environmental Sustainability
    Indicator Project to adjust So2 emissions by
    populated land area rather than total land area
    (World Economic Forum, 2000)
  • Proxy variable
  • Example for climatic center of population
    distribution in a study of labor economics (Hall
    and Jones, 1998)

3
Better description about the distribution of
human population
  • Cohen and Small
  • World population generally localized along
    low-lying coasts, rivers
  • Population peak at 2300 m altitude Mexican
    Plateau
  • Data used GPW

4

Better description about the distribution of
human population (continued)
  • UNDP WRI
  • Population distribution (red) by aridity zone
    (browns)
  • Shows highest density populations living in
    predominantly semi-arid or dry sub-humid climates
  • Data GPW

5
Ecosystem stressHuman modification of coastal
areas
  • WRI
  • Close-up of SE Asia
  • Global estimates nearly all areas with 100 km of
    coast are modified by human activity
  • 20 highly altered by conversion to agriculture
    or urbanization
  • Data Night-time lights (OLS)

6
Ecosystem stress (2)Water Availability by River
Basin
  • WRI
  • Estimate 2.3 billion people are living in
    conditions of water stress or water scarcity
  • Allows for estimates by river basin not by
    national aggregates
  • Many more than had been previously estimated
  • Combines pop data with river basin model run-off
    data
  • Data GPW

7
Health (1)Pop growth and the extinction of the
tsetse fly
  • Project human and tsetse fly population
    distribution to 2040
  • Human population growth causes loss of fly
    habitat
  • Model human-fly interactions based on
    species-specific behavior
  • Estimate that by 2040 the fly population will
    decline throughout Africa but an area as large as
    Europe will remain infested
  • Pop growth affects subspecies differently
  • Robin Reid et al., International Livestock
    Research Institute, Nairobi
  • Combine human pop data with fly pop data
  • previous efforts failed because national level
    data do not match that of fly habitat
  • Data GPW

8
Health (2)Studies of Malaria
  • Snow et al.
  • Estimate morbidity and mortality in Africa
  • 1 million deaths in 1995 estimated due to malaria
  • 200 million clinical events
  • Combine gridded population density with
    national-level data on age structure and malarial
    data (endemicity, hospital records)
  • Data GPW
  • Gallup and Sachs
  • Deterministic analysis of malaria and economic
    growth
  • Population density within 100 km a coastline--to
    proxy for access to transportation--is dependent
    variable
  • Despite the strong correlation between poverty
    and malaria, and the strong impacts of malaria on
    the economy, the causal mechanism are unclear
  • Data GPW

9
MigrationStudies of displacement of persons
  • Dobson and colleagues
  • Shows short term (1-2 years) population movement
    in Kosovo
  • All systematic record keeping suspended
  • Combines heuristic model (for pop data) with
    media accounts of wartime movement
  • Data Landscan

10
Whats missing from known studies?
  • Examples from
  • Climate
  • Land use change
  • Urbanization
  • Agriculture
  • Hazards
  • Economic development

11
Scale issues Small vs. large areas
  • It seems that topics--and even disciplines--tend
    to have scale preferences
  • Health studies tend to be local, at best
    continental
  • Urban studies tend to be local or regional
  • Climate studies tend to be global
  • To what extent is this constraint data-driven
    rather than theory-driven?
  • Can we create a collection of best-available data
    sets that can always be aggregated for
    coarser-scale analysis?
  • To what extent are methods or inputs
    scale-specific?

12
Where have we come in 6 years?
  • Lots of use
  • UNEP/GRID-Environment Canada data base has had
    over 75,000 data transfers since 1996
  • Dozens of published papers and books have used
    gridded population data
  • almost all note that the study is improved or
    innovate in part because of the recent
    availability of population data on a grid
  • Inputs are getting better
  • Input data--both for population and
    administrative boundaries--continue to improve
  • Satellite data are becoming more useful for
    integration with population data
  • Methods are more sophisticated
  • Applications are becoming more apparent
  • Need for (and value of) interdisciplinary studies
    is
  • increasingly recognized
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