Purpose Uncertainty is not always well captured, understood, or modeled properly, and can
bias the robustness of complex relationships, such as the association between the …

Many spatial analysis techniques rely on the ability to geocode individual locations based
on addresses or other descriptive information. The quality of geocoding and its effect on …

Many physical and sociological processes are represented as discrete events in time and
space. These spatio-temporal point processes are often sparse, meaning that they cannot …

Purpose–The purpose of this paper is to examine the influence of reference data, input
address quality, and crime type on completeness and positional accuracy of street …

Objectives This paper outlines challenges and opportunities of using AF data in cybercrime
and fraud victimisation research and practice and makes recommendations to improve the …

Crime analysts attempt to identify regularities in police recorded crime data with a central
view of disrupting the patterns found. One common method for doing so is hotspot map** …

Purpose To determine if repeat and near repeat analysis is sensitive to the geocoding
algorithm used for the underlying crime incident data. Methods The Indianapolis …

Following inspections in 2013 of all police forces, Her Majesty's Inspectorate of
Constabulary found that one-third of forces could not provide data on repeat victims of …

In this paper we detailed a multinomial classification-based methodology that combines
different algorithms (SVM and MLP) with document representations (Tf Idf vectorization and …

Background: There is increasing interest in the spatial analysis of suicide data to identify
high-risk (often public) locations likely to benefit from access restriction measures. The …