Results 251 to 260 of about 4,738,354 (293)
Some of the next articles are maybe not open access.
Third IEEE International Conference on Data Mining, 2004
We describe the need for mining complex relationships in spatial data. Complex relationships are defined as those involving two or more of: multifeature colocation, self-colocation, one-to-many relationships, self-exclusion and multifeature exclusion. We demonstrate that even in the mining of simple relationships, knowledge of complex relationships is ...
Robert Munro, Sanjay Chawla, Pei Sun
openaire +1 more source
We describe the need for mining complex relationships in spatial data. Complex relationships are defined as those involving two or more of: multifeature colocation, self-colocation, one-to-many relationships, self-exclusion and multifeature exclusion. We demonstrate that even in the mining of simple relationships, knowledge of complex relationships is ...
Robert Munro, Sanjay Chawla, Pei Sun
openaire +1 more source
Spatial Complexity in Children's Language
Perceptual and Motor Skills, 2000The purpose of this research was to explore the properties of locative scenes which influence the sequence of the acquisition of spatial prepositions in English. Children ranging in age from about 2;8 to 5;6 were tested with a comprehension test involving a sentence-picture matching task.
R M, Weist +3 more
openaire +2 more sources
Complex landscapes of spatial interaction [PDF]
Recently, Paul Krugman posed the intriguing question: ’How complex is the economic landscape? He was not thinking of mountains and rivers over which goods are transported and services channelled, but of an abstract landscape, one that represents the dynamics of resource allocation across activities and locations.
openaire +1 more source
Image complexity and spatial information
2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX), 2013The complexity of an image tells many aspects of the image content and is an important factor in the selection of source material for testing various image processing methods. We explore objective measures of complexity that are based on compression.
Honghai Yu, Stefan Winkler 0001
openaire +1 more source
Distance queries for complex spatial objects in oracle spatial
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014With the proliferation of global positioning systems (GPS) enabled devices, a growing number of database systems are capable of storing and querying different spatial objects including points, polylines and polygons. In this paper, we present our experience with supporting one important class of spatial queries in these database systems: distance ...
Ying Hu +3 more
openaire +1 more source
Simplicity in Complex Spatial Systems
2009In the past decade, complexity has become an important and fascinating domain for advanced research on nonlinear dynamics, in which a multiplicity of scientific fields are involved (physics, life sciences, social sciences, economics, geography, and so forth).
Reggiani, A, Nijkamp, P.
openaire +2 more sources
Complexities in spatial center derivation
Transactions in GIS, 2018AbstractThe center of a spatial object or set of objects is a rather straightforward and well understood descriptor. Beyond providing a statistically oriented interpretation of the middle of something, the center often has much significance in terms of locating services and activities, but may also represent a place of political/historical importance ...
openaire +1 more source
Spatial Complexity, Visual Complexity and Aesthetics
2020The concept of “visual complexity” is related to spatial complexity. From landscapes to paintings and fractals, aesthetic appeal is directly related to spatial complexity (or, at least, to its determinants). In this chapter, it is examined how and why: (a) neither spatial complexity nor simplicity guarantee aesthetic appeal; (b) quite often, neither ...
openaire +1 more source
Spatial Complexity, Psychology and Qualitative Complexity
2020How is spatial complexity perceived by humans? The study of spatial complexity is scale-dependent: a spatial entity that may look simple at some spatial level, may reveal many details if examined closer at finer spatial scales. To perceive complexity, we often resort to generalizations: thematic (grouping up similar themes, i.e.
openaire +1 more source

