Now showing items 21-26 of 26
Spatial process and data models: Toward integration of agent-based models and GIS
(Springer-Verlag; Springer-Verlag Berlin Heidelberg, 2005-05)
The use of object-orientation for both spatial data and spatial process models facilitates their integration, which can allow exploration and explanation of spatial-temporal phenomena. In order to better understand how ...
Modeling the annual thermal regime of lake Ohrid, Yugoslavia, using daily weather data
(Elsevier, 1982-03)
The time-dependent characteristics of the five weather variables which control the annual thermal response of Lake Ohrid are analyzed in detail. These are daily values for solar radiation, air temperature, humidity, wind ...
The qualitative behavior of coupled predator-prey oscillations as deduced from simple circle maps
(Elsevier, 1994-05)
Qualitative patterns of the non-equilibrium behavior of coupled consumer/resource systems, formulated as a standard circle map, are explored. Patterns of demographic locking, reflected as a "devil's staircase", are observed ...
A spatial model of growth and competition strategies in coral communities
(Elsevier, 1977-10)
A discrete spatial simulation model is developed to investigate the type and intensity of biological and physical factors influencing the structure of coral communities. The model represents reproduction, growth, and ...
Exurban residential subdivision development: Effects on water quality and public perception
(Kluwer Academic Publishers; Springer Science+Business Media, 2004-09)
We investigated how future alternative designs for exurban residential subdivision development in agricultural landscapes might affect aquatic ecosystems and public perceptions, and we asked whether better aquatic ecological ...
Geostatistical incorporation of spatial coordinates into supervised classification of hyperspectral data
(Springer-Verlag; Springer-Verlag Berlin Heidelberg, 2002-03)
This paper presents a methodology to incorporate both hyperspectral properties and spatial coordinates of pixels in maximum likelihood classification. Indicator kriging of ground data is used to estimate, for each pixel, ...