BACKGROUND The purpose of the project was to delineate a series of contiguous neighbourhood-based "Data Zones" within the Region of Peel (Ontario) for the purpose of health data analysis and dissemination. Zones were to be built on Census Tracts (N = 205) and obey a series of requirements defined by the Region of Peel. This paper explores a method that combines statistical analysis with ground-...

The status of regional biodiversity is determined by habitat quality. effective assessment quality can help balance the relationship between economic development and conservation. Therefore, this study used InVEST model to conduct a dynamic evaluation spatial temporal changes in Tarim River Basin southern Xinjiang Uygur Autonomous Region China calculating degradation degree levels for types tha...

Globally, the COVID-19 pandemic is a top-level public health concern. This paper an attempt to identify and in Iran using spatial analysis approaches. study was based on secondary data of confirmed cases, deaths, recoveries, number hospitals, hospital beds population from March 2, 2019 end November 2021 31 provinces hospitals website National Institute Health. In this paper, three geographical ...

The influence of demographic processes on the inflation rate in Russian regions is reviewing. hypothesis heterogeneous population different age groups are testing. Such can be explained by behavior concerning consumption, expectations, as well other factors that determine groups, specifics country’s regions, and interregional interaction. database includes statistical indicators 81 Russia for p...

Bencana pandemi COVID-19 di kota Bogor perlu diidentifikasi sebaran pola spasial guna memudahkan upaya mitigasi. Pola dan pemetaan klaster lokal diperlukan untuk mengetahui daerah mana yang terkena dampak. Penelitian ini bertujuan mengidentifikasi memetakan spasial, apakah itu acak, tersebar, atau mengelompok. Arah dipetakan pencegahan penyebarannya. Pengambilan data secara agregat kasus positi...

In this paper we explore relationships between bird species richness and environmental factors in New York State, focusing particularly on how spatial scale, autocorrelation and nonstationarity affect these relationships. We used spatial statistics, Getis-Ord Gi*(d), to investigate how spatial scale affects the measurement of richness “hot-spots” and “cold-spots” (clusters of high and low speci...

Analyzing spatiotemporal autocorrelation would be helpful to understand the underlying dynamic patterns in space and time simultaneously. In this work, we aim to extend the conventional spatial autocorrelation statistics to a more general framework considering both spatial and temporal dimensions. Specifically, we focus on the spatiotemporal version of Getis-Ord's G. The proposed indicator STG ...

In this paper, we present an efficiency improvement for the algorithm called AMOEBA, A Multidirectional Optimum Ecotope-Based Algorithm, devised by Aldstadt and Getis (Geogr Anal 38(4):327–343, 2006). AMOEBA embeds a local spatial autocorrelation statistic in an iterative procedure in order to identify spatial clusters (ecotopes) of related spatial units. We provide an analysis of the computati...