A Spatial Structuration Heuristic for Integrated Automated Map Generalisation with Attribute and Geometry
map generalization, classification, competing algorithm, entropy, thematic maps census population
a geometric generalisation
an attribute generalisation
clustering, spatial clustering
line simplification, amalgamation, elimination ..., line smoothing, schematisation, ...
•
• •
a Map
sequential approaches integrated approaches
is described by characteristics related to the objects composing the map:
integrated optimisation here we used
•
optimisation process = at each iteration choosing the “best” operator
, atomic transformation
among geometric and attribute families of operators [ref]
• “best”= increasing the spatial organisation or structuration = minimising the Spatial entropy [ref]
• spatial Cooccurrences at distance d of the feature types define the organisation of the objects of the map for the given characteristic description: distribution
with steps i.e. choice of local (iteration level) best
d =1600m
•
Spatial Heuristic
operators for attribute were very simple
Transformation
•
40
60
80
100
Iteration
B
-1.35
20
-1.45
0
Of_geo + Of_att
attr geom
Transformation attr geom
d =1000m
0
20
40
60
Iteration
first results
80
combined optimisation makes sense only if operators introduce some interaction in the characteristics (geometry . attribute) e.g. spatial clustering based on pixel
• heuristic towards clumped feature types
-1.55
Of_geo + Of_att
-1.5 -1.4 -1.3 -1.2 -1.1 -1.0 -0.9 -0.8
Spatial Heuristic
100
insure more homogeneity but not necessarily simplification. Solutions may be: initial simplification of some, add more characteristic descriptions for geometry)
See also the abstract with [ref]erences http://www.nottingham.ac.uk/cgs/cgs_didier_leibovici.html
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âcrystallizationâ of the network into synfire modules. On this level, the ..... [10] E. Bienenstock, âComposition,â in Brain Theory, A. Aertsen and V. Braitenberg, Eds.
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application for operations research techniques, characterized by the need to respect capacity constraints on a set of interde- pendent resources such as CPU, ...
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tested with paired t-tests, and differences between groups were tested with independent ... Hemisphere) and along the anteriorâposterior axis (factor Cluster with.
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principle a continuous, if heterogeneous, physical entity whereas a .... Potential applications of the meta-ecosystem concept abound. .... for designing appropriate conservation and management. Meta- ... Michel Loreau acknowledges financial.
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All the methods including the block-structured approach for grid generation have their ... blocks and different grid refinement strategies for different blocks. ...... Melton, J.E., and Berger, M.J., Adaptation and surface modeling for Cartesian mesh
due to the lack of the automated techniques for block decomposition. All the methods ... suitable assembly of grid blocks. This approach is ... would enable any grid generation system to simply and efficiently construct both a block topology and.
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The opposite extreme to manual integration is self-integra- tion. .... some (but not all) applications. Indeed, maps between color ... area but choosing the algorithm or solution still requires manual ... operations that required the services of both
Other techniques [4,5] have used the outputs of OCR to further improve labeling accuracy. In this paper, we describe an automated labeling technique to label ...Missing:
for further evaluation and application of our research. ..... The segmentation algorithms above converted the input movement data into a ...... He received two M.S. degrees, in Operations Research and Computer Science, from the University of.
