Add to ORKGThis paper shows an explanatory tool (a FORTRAN program linked to GIS software), called VCM (Variable Clumping Method), for detecting a geo-metrical form of spatial hierarchy in the distribution of points. The paper rst formulates a clumping method, called the variable clumping method, in which a clump is dened by a set of connected circles centered at given points and the state of connected circles is observed with respect to a variable radius of the circles. Second, the paper develops a computational method for the variable clumping method. Third, the paper shows the procedure for running the program VCM. Last, the paper discusses the performance of VCM
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This paper shows an explanatory tool (a FORTRAN program linked to GIS software), called VCM (Variabl...
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Point clouds are becoming one of the most common ways to represent geographical data. The scale of a...
Kriging is one of the most frequently used prediction methods in spatial data analysis. This paper e...
An exploratory data analysis tool termed the comap is introduced. This is essentially a geographi...
This paper shows an explanatory tool (a FORTRAN program linked to GIS software), called VCM (Variabl...
Many kinds of phenomena, including traffic accidents, road kills of wild animals and distribution of...
This paper proposes a new type of point-pattern analytical method, Network-Based Variable-Distance C...
A geographic information system (GIS) is a software package for storing geographic data and performi...
Abstract: The object of this article is the parallelization of kriging, which is an estimation metho...
In the field of computer-assisted cartography, cartographic generalization is one of the basic theor...
With the ability to collect and store increasingly large datasets on modern computers comes the need...
Generative Topographic Mapping (GTM) is a probabilistic latent variable model for multivariate data ...
A Geographic Information System (GIS) is used to handle, analyse and visualize facts of the real ...
In this paper we describe the application of geometric analogies to the GeoComputation ...
The use of hierarchical coordinate systems in geographic information systems (GIS) is a relatively u...
A fundamental element of exploratory spatial data analysis is the discovery of clusters in a spatial...
Point clouds are becoming one of the most common ways to represent geographical data. The scale of a...
Kriging is one of the most frequently used prediction methods in spatial data analysis. This paper e...
An exploratory data analysis tool termed the comap is introduced. This is essentially a geographi...