A cartographic modeling approach to isopleth mapping
Isopleth maps depict different types of standardized data densities, general ratios/rates, and proportions/percentages. In this study, we describe different paths each type of standardized data takes to construct isoplethic surfaces in a cartographic ...
A context-sensitive correlated random walk: a new simulation model for movement
Computational Movement Analysis focuses on the characterization of the trajectory of individuals across space and time. Various analytic techniques, including but not limited to random walks, Brownian motion models, and step selection functions have ...
GIS diffusion in Uganda
Despite myriad studies having been carried out on the diffusion of geographical information systems GIS technology, only a limited number have been done within the context of developing countries. This paper addresses the research question, how did the ...
A cyber-enabled spatial decision support system to inventory Mangroves in Mozambique: coupling scientific workflows and cloud computing
Mangroves are an important terrestrial carbon reservoir with numerous ecosystem services. Yet, it is difficult to inventory mangroves because of their low accessibility. A sampling approach that produces accurate assessment while maximizing logistical ...
A 3D multi-threshold, region-growing algorithm for identifying dust storm features from model simulations
Dust storms cause significant damage to health, property, and the environment worldwide every year. To help mitigate the damage, dust forecast models simulate and predict upcoming dust events, providing valuable information to scientists, decision ...
The Network-Max-P-Regions model
This paper introduces a new p-regions model called the Network-Max-P-Regions NMPR model. The NMPR is a regionalization model that aims to aggregate n areas into the maximum number of regions max-p that satisfy a threshold constraint and to minimize the ...
Geographically weighted regression with parameter-specific distance metrics
Geographically weighted regression GWR is an important local technique to model spatially varying relationships. A single distance metric Euclidean or non-Euclidean is generally used to calibrate a standard GWR model. However, variations in spatial ...
3D tree modeling from incomplete point clouds via optimization and L1-MST
Reconstruction of 3D trees from incomplete point clouds is a challenging issue due to their large variety and natural geometric complexity. In this paper, we develop a novel method to effectively model trees from a single laser scan. First, coarse tree ...
An intelligent spatial land use planning support system using socially rational agents
This study employs a computationally effective Bayesian learning technique, along with social value orientation theory, to design socially rational intelligent agents who work on behalf of real actors. The proposed system is applied to a real world ...
A simplified linear feature matching method using decision tree analysis, weighted linear directional mean, and topological relationships
Linear feature matching is one of the crucial components for data conflation that sees its usefulness in updating existing data through the integration of newer data and in evaluating data accuracy. This article presents a simplified linear feature ...
