This work analyses the spatial clustering of fire intensity in Zimbabwe, using remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) active occurrence data. In order to investigate pattern intensity, MODIS-derived radiative power (FRP) was utilized. A local indicator autocorrelation method, Getis-Ord (Gi*) statistic, applied show distribution high and low clusters. Analysis rela...

wiener index is a topological index based on distance between every pair of vertices in agraph g. it was introduced in 1947 by one of the pioneer of this area e.g, harold wiener. inthe present paper, by using a new method introduced by klavžar we compute the wiener andszeged indices of some nanostar dendrimers.

Human immunodeficiency virus (HIV) infection and the acquired immune deficiency syndrome (AIDS) exhibit variable patterns among the provinces of China. Knowledge of the geographical distribution of the HIV/AIDS epidemic is needed for the prevention and control of AIDS. Thus, the cumulative number of reported cases of HIV/AIDS from the period 1985-2013, and the incidence rate of AIDS in 2013 wer...

The millions of plant specimens that have been collected and stored in Chinese herbaria over the past ~110 years have recently been digitized and geo-referenced. Here we use this unique collection data set for species distribution modeling exercise aiming at mapping &explaining the botanical richness; delineating China's phytogeographical regions and investigating the environmental drivers of t...

OBJECTIVE The aim was to determine the distribution pattern of hypospadias cases across a well-defined geographic space. MATERIALS AND METHODS The dataset for this study was produced by the Birth Defects Prevention and Surveillance System of the Department of Health of Puerto Rico (BDSS-PR), which linked the information of male newborns of the Puerto Rico Birth Cohort dataset (PRBC; n=92,285)...

The rapid increase in traffic volume on urban roads, over time, has altered the global scenario. Additionally, it increased number of road crashes, some which are severe and fatal nature. identification hazardous roadway sections using spatial pattern analysis crashes recognition primary contributing factors may assist reducing severity (R.T.C.s). For crash prediction, along with patterns, vari...

Road traffic accidents are a major concern for modern society with high toll on human life and involve hard to account economic consequences. New knowledge can be obtained from combining GIS tools machine learning artificial intelligence, developing what is, in this work, identified as spatial intelligence. This approach is tested case study of Setúbal district, Portugal, the period 2016 2019. ...