Analysis of Total Crime Count Data Based on Spatial Association Structure

Statistical Analysis of Spatial Count Data

Bayesian Analysis of Censored Spatial Data Based on a Non-Gaussian Model

Abstract: In this paper, we suggest using a skew Gaussian-log Gaussian model for the analysis of spatial censored data from a Bayesian point of view. This approach furnishes an extension of the skew log Gaussian model to accommodate to both skewness and heavy tails and also censored data. All of the characteristics mentioned are three pervasive features of spatial data. We utilize data augme...

the structure of lie derivations on c*-algebras

نشان می دهیم که هر اشتقاق لی روی یک c^*-جبر به شکل استاندارد است، یعنی می تواند به طور یکتا به مجموع یک اشتقاق لی و یک اثر مرکز مقدار تجزیه شود. کلمات کلیدی: اشتقاق، اشتقاق لی، c^*-جبر.

Spatial Clustering Simulation on Analysis of Spatial-Temporal Crime Hotspot for Predicting Crime activities

This paper presents a spatial‐ temporal prediction of crime that allows forecasting of the criminal activity behavior in a particular district by using structured crime classification algorithm. The quantity of each crime is understood as the forecasted enhance or reduce the particular moment in time and location of the criminal activity. The proposed algorithm used for forecasting crime is bas...

Analysis of Spatial Count Data using Kalman Smoothing

Claus Dethlefsen Dept. of Mathemati al S ien es Aalborg University Fr. Bajers Vej 7G 9220 Aalborg, Denmark Abstra t This paper onsiders spatial ount data from an agri ultural eld experiment. Counts of weed plants in a eld have been re orded in a proje t on pre ision farming. Interest is in mapping the weed intensity so that the dose of herbi ide applied at any lo ation an be adjusted to the amo...