
Short-D'Orsogna-Brantingham 2008 hot-spot PDE
Source:R/tps_statphysics.R
morie_tps_sdb_reaction_diffusion.RdSolves the coupled reaction-diffusion system $$\partial_t A = \eta \nabla^2 A - \omega A + \theta \rho,$$ $$\partial_t \rho = \nabla \cdot (D \nabla \rho - 2 \rho \nabla \log A) - \rho A + \gamma,$$ on a cosine-corrected Toronto grid seeded by the observed incident histogram. Localised attractiveness spikes emerge whenever \((\eta, \omega, \theta, D, \gamma)\) place the system in the instability regime (D'Orsogna & Perc 2015, sec. 3.2).
Usage
morie_tps_sdb_reaction_diffusion(
category = "Assault",
sample_rows = 30000L,
eta = 0.05,
omega = 0.3,
theta = 1.5,
D = 0.1,
gamma = 0.05,
n_steps = 800L,
dt = 0.04,
nx = 90L,
ny = 60L,
save_fig = TRUE,
fig_dir = NULL
)Arguments
- category
TPS category name (default
"Assault").- sample_rows
Maximum number of incident rows to load (
NULLfor all).- eta, omega, theta, D, gamma
PDE coefficients.
- n_steps
Number of forward-Euler integration steps.
- dt
Integration step size.
- nx, ny
Grid resolution.
- save_fig
Whether to write a 1x3 PNG triptych
- fig_dir
Directory to write the PNG into;
NULL(the default) skips writing and says so in the result. (seed / A(x,t) / rho(x,t)) to the manifest figure directory.
Value
A morie_rich_result list with the steady-state
spike count, mean field values, DBSCAN comparison, and the
integration parameters.
Details
Steady-state spike count is compared against a DBSCAN cluster count
on the raw incidents (delegated to morie_tps_dbscan_clusters
when available).
References
Short MB, D'Orsogna MR, Pasour VB, Tita GE, Brantingham PJ, Bertozzi AL, Chayes LB (2008). A statistical model of criminal behavior. M3AS 18(supp01): 1249-1267.
Examples
# \donttest{
rr <- morie_tps_sdb_reaction_diffusion(
"Assault", sample_rows = 5000, n_steps = 200, save_fig = FALSE
)
#> morie_tps: no local TPS cache for 'Assault'; using the bundled sample from rmoriedata. Fetch the full export with morie_tps_fetch_category().
print(rr$summary_lines)
#> $Method
#> [1] "Short-D'Orsogna-Brantingham 2008 hot-spot PDE"
#>
#> $Grid
#> [1] "90x60 cos-corrected, dx~=0.52 km"
#>
#> $Parameters
#> [1] "eta=0.05 omega=0.3 theta=1.5 D=0.1 gamma=0.05 dt=0.04 steps=200"
#>
#> $SteadySpikes
#> [1] 128
#>
#> $DBSCAN_clusters
#> [1] 0
#>
#> $MeanA
#> [1] 0.7668
#>
#> $MeanRho
#> [1] 0.1189
#>
#> $Figure
#> [1] "(skipped)"
#>
# }