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Presentation by Jaime Díaz Pacheco from Complutense University of Madrid on Esri European User Conference 2011.
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Exploring the limitations of CORINE Land Cover for modeling urban land use change.
Jaime Díaz Pachecojdiazpac@ghis.ucm.es
Universidad Complutense. Departamento de Geografía Humana.
PRESENTATION INDEX
1. Brief description of the whole project where thi s work is included.
-Objective.
-Framework: Dynamic models of land use change in urban regions.
- Methodology: Building urban CA based model on a GIS platform ( ArcGIS 10 ).
2. Exploring the weakness of CORINE Land Cover for modeling urban land use change.change.
3. Conclusions.
-Objective.
- Methodology: Comparison of geodatabases CLC-MLU at different scales.
Jaime Díaz Pacheco
jdiazpac@ghis.ucm.es
Dpto. de Geografía Humana
Universidad Complutense
PROJECT : RELATIONSHIP AMONG LAND USE AND URBAN MO BILITY.
MARS CA
Cellular AutomataMetropolitan Activity Relocation Simulator
1. Brief description of the whole project where this work is included. - Objective:
Human Geography Department UCM
TRANSyT - Transport Research Centre -UPM
Regional Transport and Land Use Dynamic ModelMunicipality (Scale)
Regional Land Use Dynamic Model25x25 m. cell (Scale)
Jaime Díaz Pacheco
jdiazpac@ghis.ucm.es
Dpto. de Geografía Humana
Universidad Complutense
Acknowledgements: Financial support from Ministerio de Ciencia e Innovación (project TRA2008-06682) is gratefully acknowledged.
1. Brief description of the whole project where this work is included. - Framework:
…continues intensively since the first industrial cities bloomed in Europe and U.S.
…It is occurring in every large urban
world region but in a different way
(proportions, rates of growth,
shapes…)
THE URBANIZATION PHENOMENAAND THE URBAN STRUCTURES DEVELOPMENT…
Despite this evolutional diversity, the
large active urban spaces share
common characteristics. A high level
COMPLEXITY OF THE HUMAN
SOCIO-SPATIAL PHENOMENA.
CITIES ARE A DYNAMIC SELF
ORGANIZING SYSTEM
common characteristics. A high level
of dynamism and high index of
growth.
Fuente: GawC Inventory of World Cities.ENDOGENOUS AND
EXOGENOUS FACTORS
PATTERNS GENERATION
LAND USE DYNAMICS
Can we approach the urban phenomenon through the land
use dynamics?Are there factors which are in
relationship with urban
transformations? How are these
factors contributing on the land
use dynamic in the cities?Fuente: http://arsberlin.wordpress.com/
GEOGRAPHICAL MODELS,
IMPLEMENTED TECHNIQUES
IN GIS . CA, ANN…
CELLULAR AUTOMATON ELEMENTS
1. Brief description of the whole project where this work is included. - Methodology:
Jaime Díaz Pacheco
jdiazpac@ghis.ucm.es
Dpto. de Geografía Humana
Universidad Complutense
LAND USECHANGE
BEHAVIOUR
LAND USE CHANGE DYNAMIC MODEL
POTENTIALTRANSITION
FUTURESCENARIOS
LAND USEDEMAND
Changing rules
Changing demand
LAND USE
Period t0 (2000)
LAND USE
Period t6 (2006)
True
LAND USE
Period t9
(2009)
Simulation
LAND USE
Period t9
(2009)
VALIDATION
Where? How much?
TRANSITION(RULES)
DEMANDMODEL
MAP COMPARISON
CALIBRATION
Simulation
LAND USE
Period t6 (2006)
True
LAND USE
Period t6 (2006)
Jaime Díaz Pacheco
jdiazpac@ghis.ucm.es
Dpto. de Geografía Humana
Universidad Complutense
POTENTIAL TRANSITION
(RULES)
Neighborhood
Adapted from: Engelen, G.; White, R.; Uljee, I.; Drazan, P. (1995)
1. Brief description of the whole project where is included this work. - Methodology:
MODEL BUILDER (ARCGIS 10) LAND USE CHANGE DYNAMIC MODEL BASED ON A CELLULAR A UTOMATON
Potential Transition
Demand Model
Ranking cells
Land Use
Allocation
Building simulation
loop
LU Simulation
t1
Initial Land USe
t0
BUILDING AN URBAN CELLULAR AUTOMATON ON MODEL BUILDER (ArcGIS 10)
2. Exploring the weakness of CORINE Land Cover for monitoring urban land use changes.
- Measure to what degree CLC is applicable for anurban CA-BASED land use modeling at particularscales.
- Compute possible underestimations andoverestimations of CLC on artificial (urban) land use, bycomparison with a higher precision regional land use
- Methodology:
- Objective:
comparison with a higher precision regional land usegeodatabase (MLU) at particular scales of analysis.
LAND USE CHANGE TO
ARTIFICIAL LAND2000-2006
According CLC
According MLU
TOTAL AREA OF ARTIFICIAL LAND
2000 & 2006
Comparison
Regional Scale(Madrid
Community)
Local Scale(municipalities)
2. Exploring the weakness of CORINE Land Cover for monitoring urban land use dynamics. - Methodology: Comparison of geodatabases CLC-MLU at different scales.
Land Uses
Urban Residential
Industrial/Commercial/Services
Airport
DETAIL OF CORINE LAND COVER, 2000.
DETAIL OF MADRID LAND USE, 2000.
LOCALIZATION CORINE Land Cover.
- EU. EEA.
- Coordinate,
homogenize, LULC
information in EU.
- 1999-2000-2006.
- 25 ha. m.m.u.
- Remote
Sensing/Automatic
and visual. (Computer-Infrastructures
Sport and Leisure
Urban Green
Non-Urban Land
0 100 20050Km
³
Jaime Díaz Pacheco
jdiazpac@ghis.ucm.es
Dpto. de Geografía Humana
Universidad Complutense
and visual. (Computer-
assisted classification)
MADRID Land Use.
- UCM (H. Geography).
- LU and urban mobility
(Madrid C.).
- 2000-2006-2009.
- 0.25 ha. m.m.u.
- Photo interpretation,
cartography support.
³
MADRID Land Use (2006) CORINE Land Cover (2006)
Airports
Sport and Leisure
Industrial/Commercial/Service
Road Network
Urban Residential
Urban Green
2. Exploring the weakness of CORINE Land Cover for monitoring urban land use dynamics. - Methodology: Comparison of geodatabases CLC-MLU at different scales.
0 20 4010Km
³A NEW SET OF CATEGORIES TO ASSIMILATE CLC and MLU CLASSES.
COMPARISON OF ARTIFICIAL LAND USE COMPUTED BY CLC AND MLU AT REGIONAL SCALE.
Jaime Díaz Pacheco
jdiazpac@ghis.ucm.es
Dpto. de Geografía Humana
Universidad Complutense
2. Exploring the weakness of CORINE Land Cover for monitoring urban land use dynamics. - Methodology: Comparison of geodatabases CLC-MLU at different scales.
ARTIFICIAL LAND USE EVOLUTION, 2000-2006. OVERESTIM ATIONS AND UNDERSTIMATIONS, CLC.
Jaime Díaz Pacheco
jdiazpac@ghis.ucm.es
Dpto. de Geografía Humana
Universidad Complutense
2. Exploring the weakness of CORINE Land Cover for monitoring urban land use dynamics. - Methodology: Comparison of geodatabases CLC-MLU at different scales.
Jaime Díaz Pacheco
jdiazpac@ghis.ucm.es
Dpto. de Geografía Humana
Universidad Complutense
Overestimations / UnderestimationsLow ( < 5%)
Medium (5% - 25%)
High (25%-50%)
Very high (> 50%)
Low (< 5%)
Medium (5%-25%)
High (25%-50%)
Very high (>50%)
³0 25 5012.5 Km
2. Exploring the weakness of CORINE Land Cover for monitoring urban land use dynamics. - Methodology: Comparison of geodatabases CLC-MLU at different scales.
Underestimations
n: 128
X: 55.25
s : 83.46
Max: 495.84
Min: 0.18
Overestimations
n: 51
X: 36.42
s : 35.79
Max: 168.33
Min: 2.02
Jaime Díaz Pacheco
jdiazpac@ghis.ucm.es
Dpto. de Geografía Humana
Universidad Complutense
Underestimations Overestimations
2. Exploring the weakness of CORINE Land Cover for monitoring urban land use dynamics. - Methodology: Comparison of geodatabases CLC-MLU at different scales
EXAMPLES: AREAS CLASSIFIED AS SPORT AND LEISURE CAT HEGORY. IT HAVE OTHER USES!
Jaime Díaz Pacheco
jdiazpac@ghis.ucm.es
Dpto. de Geografía Humana
Universidad Complutense
Detail of mapped elements. CLC, 2000 and 2006.
Hectareas
Negative Growth
< 250
250 - 500
500 - 1.500
1.500 - 2.500
Location of negative growth areas.
EXAMPLES: AREAS MAPPED IN CLC 2000, NOT MAPPED IN 2 006
Jaime Díaz Pacheco
jdiazpac@ghis.ucm.es
Dpto. de Geografía Humana
Universidad Complutense
0 100 20050Km ³Artificial Land
2000
2006
1.500 - 2.500
2.500 - 30.000
Location of negative growth areas.
3. CONCLUSIONS.
- This work has tried to explore the coherence of COR INE land cover and its capacity to serve as input land use geodatabase for modeling urb an land use change.
- CORINE land cover may be useful to work at small sc ales (coarse resolution) for assessing urban land use change, but it is not so s uitable to work at scales greater (finer resolution) than 1:100,000. It is necessary to be aware of this limitation of CLC for urban modeling.
- Recently in the EU a new LULC geodatabase at larger scale (0.25 ha. m.m.u.) is available for large cities (urban regions), nonetheless there is still only one time period geotabase(2010 for Madrid).
- The measurements of artificial land use do not show a high difference in quantity of land use computed between CLC and MLU for 2000 and 2006 (static method), nonetheless if
Jaime Díaz Pacheco
jdiazpac@ghis.ucm.es
Dpto. de Geografía Humana
Universidad Complutense
use computed between CLC and MLU for 2000 and 2006 (static method), nonetheless if the evolution of artificial land uses between 2000- 2006 is computed, there is a marked increase in the difference between CLC and MLU.
- The overestimations and underestimations of CLC ove r MLU increase as we increase the scale of analysis (regional-municipal). In other wo rds the error degree tends to increase with the scale.
- Certainly the land use classes behavior is not the same for every category. There are extreme cases as the evolution of road network acc ording CLC. In fact if we analyze the data we find decrease rather than increase for thes e categories between 2000-2006. This kind of problem makes results from CLC incoherent.
Thank you!
Exploring the weakness of CORINE Land Cover for modeling urban land use change.
Jaime Díaz Pachecojdiazpac@ghis.ucm.es
Universidad Complutense. Departamento de Geografía Humana.
Urban land change modeling has become an important tool to supportterritorial planning and management in a given region. Land use modelsbased on cellular automata have been successful because of theirsimplicity. A set of simple rules allows to simulate the complexity of theland use patterns in a given region.To achieve a successful model based on urban cellular automata, it isTo achieve a successful model based on urban cellular automata, it isnecessary to have a land use geodatabase for several time periods. Inthat sense, CORINE land cover (1990, 2000, 2006) a European initiativefor monitoring land use change within EU member states and adjacentareas, is useful. This paper aims to measure to what degree this land usegeodatabase is applicable for an urban CA-BASED land use modeling atparticular scales.
Jaime Díaz Pacheco
jdiazpac@ghis.ucm.es
Dpto. de Geografía Humana
Universidad Complutense
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