This paper studies on urban fire station layout planning based on GIS. Compared and analyzed the results of traditional
method and the method based on road network and service area in GIS. Paper indicated the shortcoming of traditional
model used in planning, and proposed a new method based on GIS service area analysis model for improving the layout
of fire stations in order to without or reduce the blind spots and overlapping. In the end, on the basis of the analysis result
and the actual cases study, an optimized adjustment scheme is proposed.
KEYWORDS: Multiscale representation, Roads, Databases, Geographic information systems, Visualization, Detection and tracking algorithms, Data modeling, Data storage, Lithium, Evolutionary algorithms
This paper details a simple knowledge framework, so as to set up a scale-independent spatial database, or so called
multi-scaling GIS, for the efficient organization and management of spatial database as well as for multi-scale
representation and analysis. GIS is not only the tool for map storage and production but more importantly, GIS is the
effective means used for accessing the real word from the map. The framework emphasizes those different thematic
feature classes play different roles in the range of different scales and have different effects in the multi-scale
representation and processing. Propose multi-grade modeling representation rules based on thematic models in a variety
of professional fields, as well as knowledge framework of multiscale representation and processing based on spatial
feature classification structure and parameter table.
KEYWORDS: Databases, Data modeling, Geographic information systems, Map generalization, Roads, Visualization, Lithium, Data processing, Process modeling, Biomimetics
Conceptual modeling is one of the most vital aspects of digital map generalization study, but at the same time it is
probably the least understood. The relationship between spatial data generalization in GIS and map generalization is very
close. However, distinctions exist at the same time. Based on analysis of massive references, the interrelationship of
multi-scale, manual map generalization, digital map generalization, geographic database, cartographic database and
conceptual modeling are discussed. This paper proposes and tests a simple conceptual modeling for spatial data
generalization in GIS.
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