The social construction of geographical information system (GIS) technology requires two-way relationships between technology and people. GIS technology, like any other technology, is more than a tool; it connects different social groups in the construction of new localized social arrangements. We examine several instances of how GIS technology involves social negotiation by using a construct of boundary objects developed in a social constructivist framework. Much like geographic boundaries, boundary objects separate different social groups at the same time that they delineate important points of reference between them. Boundary objects stabilize relationships through the negotiation of flexible and dynamic coherences. The negotiation of differences between different groups is fundamental to the construction of GIS technology. Social-constructivist theories and the concept of boundary objects open new ways to understand the relationships between technology and people. We illustrate the application of boundary object theory through studies of the use of GIS data standards and the definition of wetlands.
This paper defines the critical components of cartographic time and compares temporal and spatial topologies. Because time is topologically similar to space, spatial data structuring principles can be adapted to temporal data. We present three conceptualizations of temporal geographic information and select one as the most promising basis for a temporal geographic information system. This conceptualization creates a spatial composite of all geometric information (at all times), where each object has an attribute history distinct from that of its neighbors.
This article reflects on the past 30 years of academic research in the field of spatial data quality and tries to identify the main achievements, failures, and opportunities for future research. Most of this reflection results from a panel discussion that took place during the Sixth International Symposium on Spatial Data Quality (ISSDQ) in
Continuous area cartograms distort planimetric maps to produce a desired set of areas while preserving the topology of the original map. We present a computer algorithm which achieves the result iteratively with high accuracy. The approach uses a model of forces exerted from each polygon centroid, acting on coordinates in inverse proportion to distance. This algorithm can handle more realistic descriptions of polygon boundaries than previous algorithms and manual methods, thus enhancing visual recognition.
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