Title: Gridded population databases: The demand side view
1Gridded 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
2The 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)
3Better 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
5Ecosystem 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)
6Ecosystem 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
7Health (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
8Health (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
9MigrationStudies 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
10Whats missing from known studies?
- Examples from
- Climate
- Land use change
- Urbanization
- Agriculture
- Hazards
- Economic development
11Scale 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?
12Where 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