Spatial data discretization methods for geocomputation
نویسندگان
چکیده
Geocomputation provides solutions to complex geographic problems. Continuous and discrete spatial data are involved in the geocomputational process; however, geocomputational methods for discrete spatial data cannot be directly applied to continuous or mixed spatial data. Therefore, discretization methods for continuous or mixed spatial data are involved in the process. Since spatial data has spatial features, such as association, heterogeneity and spatial structure, these features cannot be handled by
منابع مشابه
Advances in geocomputation (1996-2011)
1. What is geocomputation? The first international conference on 'Geocomputation', hosted by the School of Geography at the University of Leeds in 1996, launched a new research agenda in geographical analysis and modelling (Openshaw & Abrahart, 1996): ''The art and science of solving complex spatial problems with computers'' (GeoComputation, 2012). The interest generated in this field was estab...
متن کاملGeocomputation techniques for spatial analysis: are they relevant to health data?
Geocomputation is an emerging field of research that advocates the use of computationally intensive techniques such as neural networks, heuristic search, and cellular automata for spatial data analysis. Since increasing amounts of health-related data are collected within a geographical frame of reference, geocomputational methods show increasing potential for health data analysis. This paper pr...
متن کاملIncreasing GeoComputational Interoperability: Towards a Standard GeoComputation API
The progress of GeoCompuation research has brought us a rich set of effective computational methods for solving geospatial problems. To increase the interoperability of these methods, we have to deal with the diversity and heterogeneity ingrained in the plurality and inclusiveness of GeoComputation. Current GeoComputational interoperability research mostly focuses on interoperability issues rel...
متن کاملGeocomputation Techniques for Spatial Analysis: Is It the Case for Health Data Sets?
Geocomputation is an emerging field of research, which advocates the use of computational-intensive techniques such as neural networks, heuristic search and cellular automata for spatial data analysis. Since an increasing quantity of health-related data is collected in a geographical frame of reference, geocomputational methods show increasing potential for health data analysis. This paper pres...
متن کاملPublic Participation in Geocomputation to Support Spatial Decision-making
The extent to which computational modelling has influenced and been a part of decision-making in geography and urban planning has a long and distinguished history, as outlined by Geertman and Stillwell (2009) and Batty and Brail (2008) amongst others. With more recent advances in visualisation techniques and the ability of computers to manipulate, process and analyse increasingly complex and gr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Int. J. Applied Earth Observation and Geoinformation
دوره 26 شماره
صفحات -
تاریخ انتشار 2014