• Publications
  • Influence
It's About Time: A Conceptual Framework for the Representation of Temporal Dynamics in Geographic Information Systems
Abstract The study of spatiotemporal dynamics is certainly not new, nor is it unique to the field of geography. Nevertheless, addressing complex human and environmental issues such as global warming
An Event-Based Spatiotemporal Data Model (ESTDM) for Temporal Analysis of Geographical Data
A new spatio-temporal representation of spatiotemporal data based on traditional raster and vector representations is proposed, which is as well-suited for analysing overall temporal relationships of events and patterns of events throughout a geographical area as a temporally-based representation.
Representations of space and time
This book discusses theories of World Knowledge Representation, the computer as a Tool for Storing and Acquiring Spatial Knowledge, and some elements of Conceptual Structure that help clarify this process.
An algorithm to determine the directional relationship between arbitrarily-shaped polygons in the plane
A model for determining the directional relationship in 2-D space between two simply-connected polygons of arbitrary shape, size and distance from each other is developed and found to have a computational complexity of O ( n ), where n is the total number of vertices or cells used to represent the two polygons.
A Conceptual Framework and Comparison of Spatial Data Models
This framework is used to provide clarification of how varying data models, as well as their inherent advantages and disadvantages, are interrelated, and provides an insight into how these conflicting demands may be balanced in a more systematic and predictable manner for practical applications.
Semiautomated daily kriging estimations and semivariogram cross-validations are feasible on a national scale and valid for estimating daily ambient PM at geocoded residential addresses.
A conceptual framework for incorporating cognitive principles into geographical database representation
The pyramid framework is described as an example of a new approach to GIS data models that provides the means to create multiple structural interpretations of observed geographic data and the ability to build knowledge hierarchies through the application of data mining and other statistical techniques.
Representations of Geographic Space: Toward a Conceptual Synthesis
The need for a more unified approach to both research in methods of representing geographic data and practical geographic database design based on a common representational scheme is suggested.
Time in GIS and geographical databases
Representations used historically within GIS assume a world that exists only in the present. Information contained within a spatial database may be added to or modified over time, but a sense of
ICEAGE: Interactive Clustering and Exploration of Large and High-Dimensional Geodata
An approach is proposed to open up the “black box” of the clustering process for easy understanding, steering, focusing and interpretation, and thus to support an effective exploration of large and high dimensional geographic data.