Author: Geoffrey DuttonPublisher:
ISBN:
Category : Cartography
Languages : en
Pages : 216
Book Description
First International Advanced Study Symposium on Topological Data Structures for Geographic Information Systems: Spatial algorithms
Author: Geoffrey DuttonPublisher:
ISBN:
Category : Cartography
Languages : en
Pages : 216
Book Description
First International Advanced Study Symposium on Topological Data Structures for Geographic Information Systems: Geographic information systems: surveys, overviews, and criteria
Author: Geoffrey DuttonPublisher:
ISBN:
Category : Cartography
Languages : en
Pages : 164
Book Description
First International Advanced Study Symposium on Topological Data Structures for Geographic Information Systems: Geographic information systems: cartographic and analytic applications
Author: Geoffrey DuttonPublisher:
ISBN:
Category : Cartography
Languages : en
Pages : 228
Book Description
First International Advanced Study Symposium on Topological Data Structures for Geographic Information Systems: Data structures: hierarchial and overlaid
Author: Geoffrey DuttonPublisher:
ISBN:
Category : Cartography
Languages : en
Pages : 204
Book Description
First International Advanced Study Symposium on Topological Data Structures for Geographic Information Systems: Index and bibliography
Author: Geoffrey DuttonPublisher:
ISBN:
Category : Cartography
Languages : en
Pages : 136
Book Description
First International Advanced Study Symposium on Topological Data Structures for Geographic Information Systems: Spatial semantics
Author: Geoffrey DuttonPublisher:
ISBN:
Category : Cartography
Languages : en
Pages : 202
Book Description
Spatial Context
Author: Christopher GoldPublisher: CRC Press
ISBN: 1498779107
Category : Mathematics
Languages : en
Pages : 218
Book Description
Many disciplines are concerned with manipulating geometric (or spatial) objects in the computer – such as geology, cartography, computer aided design (CAD), etc. – and each of these have developed their own data structures and techniques, often independently. Nevertheless, in many cases the object types and the spatial queries are similar, and this book attempts to find a common theme.
First International Advanced Study Symposium on Topological Data Structures for Geographic Information Systems: Data structures: surficial and multi-dimensional
Author: Geoffrey DuttonPublisher:
ISBN:
Category : Cartography
Languages : en
Pages : 166
Book Description
First International Advanced Study Symposium on Topological Data Structures for Geographic Information Systems, Volume Five
Author: Publisher:
ISBN:
Category : Data structures (Computer science)
Languages : en
Pages : 155
Book Description
Mapping and Spatial Modelling for Navigation
Author: Louis F. PauPublisher: Springer Science & Business Media
ISBN: 3642842151
Category : Computers
Languages : en
Pages : 361
Book Description
The successful implementation of applications in spatial reasoning requires paying attention to the representation of spatial data. In particular, an integrated and uniform treatment of different spatial features is necessary in order to enable the reasoning to proceed quickly. Currently, the most prevalent features are points, rectangles, lines, regions, surfaces, and volumes. As an example of a reasoning task consider a query of the form "find all cities with population in excess of 5,000 in wheat growing regions within 10 miles of the Mississippi River. " Note that this query is quite complex. It requires- processing a line map (for the river), creating a corridor or buffer (to find the area within 10 miles of the river), a region map (for the wheat), and a point map (for the cities). Spatial reasoning is eased by spatially sorting the data (i. e. , a spatial index). In this paper we show how hierarchical data structures can be used to facilitate this process. They are based on the principle of recursive decomposition (similar to divide and conquer methods). In essence, they are used primarily as devices to sort data of more than one dimension and different spatial types. The term quadtree is often used to describe this class of data structures. In this paper, we focus on recent developments in the use of quadtree methods. We concentrate primarily on region data. For a more extensive treatment of this subject, see [SameS4a, SameSSa, SameSSb, SameSSc, SameSga, SameSgbj.