camden_crimes

Data comprising 'Theft' and 'Criminal Damage'
records of Camden Borough of London, UK
for the year 2021 (Source: <code>https://data.police.uk/</code>).
Note: Police.uk data is aggregated at monthly
scale (<code>yyyy-mm</code>). But, the data provided here has been
disaggregated to daily scale by adding fake
'daily' stamps (to give <code>yyyy-mm-dd</code>). So, caution should
be taken when interpreting the results based on
full date.

datasets

Generates artificial point patterns marked by their
spatial and temporal signatures. The resulting point cloud
may exhibit inherent interactions between both signatures.
The simulation integrates microsimulation
(Holm, E., (2017)<doi:10.1002/9781118786352.wbieg0320>)
and agent-based models (Bonabeau, E., (2002)<doi:10.1073/pnas.082080899>),
beginning with the configuration of movement characteristics for
the specified agents (referred to as 'walkers') and their interactions
within the simulation environment. These interactions
(Quaglietta, L. and Porto, M., (2019)<doi:10.1186/s40462-019-0154-8>)
result in specific spatiotemporal patterns that can be visualized,
analyzed, and used for various analytical purposes.
Given the growing scarcity of detailed spatiotemporal data
across many domains, this package provides an alternative data source
for applications in social and life sciences.

Monsuru Adepeju

stppSim

Spatiotemporal Point Patterns Simulation

camden_crimes function

A matrix containing four variables<ul>
<li>x: x coordinate</li>
<li>y: y coordinate</li>
<li>date: date of occurence</li>
<li>type: types of crime</li>
</ul>

camden_crimes: Records of crimes of Camden Borough of London, UK, 2021 (Source: https://data.police.uk/data/)

Description

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