This paper describes a spatio-temporal hot spot identification program submitted to the ACM SIGSPATIAL Cup 2016. The advent of large-scale spatio-temporal data (e.g., vehicle tracking data), together with the availability of inmemory distributed computing framework (i.e., Spark), provides an opportunity to quickly identify unusual patterns in a statistically manner, also called hot spots. We pr...

Spatial-temporal hotspot pattern analysis of environmental pollution incidents provides an indispensable source of information for the further development of incident prevention measures. In this study, the spatial-temporal patterns of environmental pollution incidents in China in the period of 1995–2012 were analyzed, using the Spatial Getis-Ord statistic and an Improved Prediction Accuracy In...

This paper describes a spatio-temporal hot spot identification program submitted to the ACM SIGSPATIAL Cup 2016. The advent of large-scale spatio-temporal data (e.g., vehicle tracking data), together with the availability of inmemory distributed computing framework (i.e., Spark), provides an opportunity to quickly identify unusual patterns in a statistically manner, also called hot spots. We pr...

This study aims to develop a GIS application to detect the possible formation of brown planthoppers (BPH) (Nilaparvata lugens.Stal) endemic areas based on spatial trend, hierarchical effects and risks areas caused of spatial connectivity in a particular area. The study was conducted through five stages: (1) the collection and preprocessing of research data, (2) database development, (3) the cre...

Spatial autocorrelation methods are used to study spatial disproportions in the socio-economic development of territories. The most common research analysis Moran local indices, global index, Getis-Ord hot spots. In this study, we estimate COVID-19 distribution patterns. As a result identified formed growth poles, epicenters spread infection (St. Petersburg, Sverdlovsk and Nizhny Novgorod regio...

Management decisions grounded in ecological understanding are essential to the maintenance of a healthy urban forest. Decisions about where and what tree species to plant have both short and long-term consequences for the future function and resilience of city trees. Through the construction of a theoretical damage index, this study examines the legacy effects of a street tree planting program ...

BACKGROUND Salmonella enterica serotype Enteritidis (S. Enteritidis) remains a major foodborne pathogen in North America yet studies examining the spatial epidemiology of salmonellosis in urban environments are lacking. Our ecological study combined a number of spatial statistical methods with a geographic information system to assess area-level heterogeneity of S. Enteritidis infection rates i...

This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to da...

The aim of this research is to analyze the spatial distribution population ageing in Bosnia and Herzegovina identify areas country that are particularly vulnerable negative demographic trends. To achieve goal study, data on coefficient index for period 2013-2020 were used. geospatial analysis these indicators was performed using global (Global Moran's I Getis-Ord General G) local (Anselin Local...