Related Experiment Video
Updated: Aug 26, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Blowing in the wind? Testing the effect of weather on the spatial distribution of crime using Generalized Additive
Rannveig Hart1,2, Willy Pedersen2, Torbjørn Skardhamar2
1Norwegian Institute of Public Health, Skøyen, P.O. Box 222, 0213 Oslo, Norway.
Abstract:
Oslo, the capital of Norway, is situated in a North European cool climate zone. We investigate the effect of weather on the overall level of crime in the city, as well as the impact of different aspects of weather (temperature, wind speed, precipitation) on the spatial distribution of crime, net of both total level of crime, time of day and seasonality. Geocoded locations of criminal offences were combined with data on temperature, wind speed, and precipitation. Generalized Additive Models (GAMs) allowed us to map level of and the spatial distribution of crime, and how it was impacted by weather, in a more robust manner than in previous studies. There was slightly more crime in pleasurable weather (i.e. low precipitation and wind speed and high temperatures). However, neither temperature, precipitation nor wind speed impacted the spatial distribution of crime in the city.
Supplementary Information:
The online version contains supplementary material available at 10.1186/s40163-022-00171-2.
More Related Videos
04:35Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
12:26Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
Published on: October 11, 2016
Related Concept Videos
Selected Data About Geographic Locations
Random Error
Mechanistic Models: Compartment Models in Individual and Population Analysis
Scatter Plot
Statistical Methods for Analyzing Epidemiological Data
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...