We propose a method using a combination of ArcView and a GPS to accurately and effectively create and locate random sample points over large research areas. We also present a preliminary public health case study which used this method to locate sample sites in a rural area of Limpopo Province, South Africa. Both health and vegetation surveys were carried out at these sites. Although similar tec...

Mapping of diseases has, since John Snow produced his famous cholera maps of London in 1854, been recognised as an essential tool in public health. A Geographical Information System (GIS) is more than mapping diseases: it manages, analyses and presents data that are linked to geographical locations. GIS enables creation of maps and can present data on national and regional level, but also on ve...

One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitigated by using a soft margin criterion, such as hinge loss, to reduce outlier sensitivity. In this paper, we present a more direct approach that explicitly incorporates outlier suppression in the training process. In pa...

GIS multicriteria decision analysis (MCDA) methods are increasingly being used in landslide susceptibility mapping for the prediction of future hazards, decision making, as well as hazard mitigation plans. However, the uncertainties associated with MCDA techniques are inevitable and model outcomes are prone to multiple types of uncertainty. In this paper, the spatiality explicitly method is emp...

Abstract. As an interdisciplinary integration of GIS theory and network technology, Web is great significance for the comprehensive development students’ capability. Therefore, this paper targets undergraduate education presents a novel approach to designing scalable microservices framework, which consists three essential components: using RESTful APIs, geographic data source provider PostGIS, ...

Geographic Information Systems (GIS) have been used increasingly to map instances of environmental injustice, the disproportionate exposure of certain populations to environmental hazards. Some of the technical and analytic difficulties of mapping environmental injustice are outlined in this article, along with suggestions for using GIS to better assess and predict environmental health and equi...

The present paper offers a meso-scale numerical model to investigate the effects of random distribution of aggregate particles and steel fibers on the elastic modulus of Steel Fiber Reinforced Concrete (SFRC). Meso-scale model distinctively models coarse aggregate, cementitious mortar, and Interfacial Transition Zone (ITZ) between aggregate, mortar, and steel fibers with their respective materi...

In order to solve the defect in the spatial outlier mining algorithm that the spatial objects may be affected by their surrounding abnormal neighbors, a Based K-Nearest Neighbor (BKNN) algorithm was proposed based on the working principle of KNN Graph, which could effectively identify the spatial outliers by using cutting edge strategies. The core idea of BKNN is to calculate the dissimilarity ...