GEOGRAPHIC INFORMATION ISSUES ASSOCIATED WITH SOCIO-
ECONOMIC MODELLING FROM NIGHT-TIME LIGHT REMOTE SENSING DATA
C. N. H. Doll^*, J. G. Morley®, J-P. Muller *
* Dept. of Geomatic Engineering, University College London, Gower Street, London WCIE 6BT, United Kingdom.
(cdoll, jmorley, jpmuller) @ge.ucl.ac.uk
Commission VII, WG VII/6
KEY WORDS: Remote Sensing, GIS, Human Settlement, Urban, Mapping, Modeling, Economy
ABSTRACT:
The ability to model socio-economic parameters from remote sensing data sources is an important element in addressing the data
gap that currently exists for linking human and physical systems in Earth system models. The provision of information about such
parameters in a gridded format would be highly advantageous for incorporation with other environmental datasets within a
Geographical Information System (GIS) environment. This paper outlines some of the geographical information issues encountered
in a recent study to analyse and map the relationship between night-time radiance from the Defense Meteorological Satellite
Program's Operational Linescan System (DMSP-OLS) and Gross Domestic Product (GDP) for countries in the European Union
and the United States. Relationships between total radiance and GDP were constructed at a number of sub-national spatial scales.
These relationships were then used to create maps of economic activity for these regions at an enhanced spatial resolution of 5km.
The use of calibration statistics from administrative areas of different sizes gave rise to issues such as the Modifiable Area Unit
Problem (MAUP) and the Ecological Fallacy. Correlation coefficients of these relationships were found to be highly variable as a
result of the MAUP. Analysis of different economic sectors revealed that the overall relationship is a combination of different
relationships for the different economic sectors present in any given administrative area. This paper not only intends to highlight
how one may use remote sensing data to successfully create a map of economic activity compatible for use within a GIS, but also to
demonstrate the complementarity between remote sensing and GIS at every level of analysis.
1. INTRODUCTION but closely related components, which have been observed to
cause a variation in statistical results depending on the spatial
Night-time light imagery can be intuitively perceived to be arrangement of zones or the scale used to analyse the data.
indicative of a range of socio-economic parameters. Socio- These are known as scale and zoning effects. The scale effect
economic data are collected at irregular spatial units. Night- occurs when different results are observed from the same data
time light imagery potentially offers a means to disaggregate at different spatial resolutions (Wrigley et al, 1996). This
these data to a constant spatial resolution. Parameters such as arises due to the aggregation of data into larger units (e.g.
human population, Gross Domestic Product (GDP), power enumeration districts — wards — counties — regions). In addition
consumption and even greenhouse gas emissions all have to this, different results can also be produced where the scale
strong correlations with lit-area and/or total radiance (Elvidge ^ of analysis remains constant but constituent areas are
et al., 1997; 1999; 2000; Doll et al., 2000). Previous work used aggregated in a different way or zone boundaries are altered.
country level aggregations of light and GDP to build a global These two issues are particularly pertinent in this analysis
relationship. This paper investigates the characteristics of sub- since the relationships derived from the data will be used as an
national relationships and discusses the implications for input to the map production procedure.
producing disaggregated maps of these parameters. The main
body of results pertaining to both the relationships and maps A practical application of using the zoning effect can be seen
are presented in an expanded paper submitted to Ecological as far back as the early 19" century, where it was observed
Economics (Doll et al., 2004). that voting districts could be divided in such a way so as to
concentrate the power of the ruling party. This occasionally
gave rise to bizarrely shaped districts epitomised by that of a
former governor of Massachusetts, Elbridge Gerry, whose
party created a salamander shaped district in 1812. The term
gerrymander was coined to describe the elected member from
such a district as well as the action of altering district
1.1 Issues surrounding multi-scale analysis of night-time
light data.
The use of multi-scale data introduces issues, which ought to
be taken into consideration when results are analysed. In : :
particular the Modifiable Areal Unit Problem (MAUP) boundaries to gain an electoral advantage.
(Openshaw, 1984) and the ecological fallacy (Cao and Lam,
1997) are two complementary themes which frequently occur
in GIS analysis, but are usually overlooked due to the lack of
general robust solution. The MAUP consists of two separate
The MAUP has only been intermittently studied. It was
identified by Gehlke and Biehl (1934 cited in Openshaw,
1984) and was again revisited in 1984 by Stan Openshaw.
* Corresponding author.
790
Intern
Whils
that is
can te
aggreg
appro:
coroll:
In an.
depen:
errone
genera
manife
The:
relatio
relatio
made
of ana
Opposr
inferer
resolut
fallacy
ecologi
scale a
MAUP
implicz
Satellit
Prograr
used ir
figures
2.1 D!
DMSP-
Oceanic
Geophy
Colorad
global i
The rad
setting
saturati
1999).
technica
dataset
Februar
2.2 An
Co-temp
for the 1
For the |
the US
power
Adminis
would b
here to d
as a genc
the natio
explicitly
States.