predCrimMaoWeb: Spatio-temporal prediction of crimes in Manaus for Web...

In lrcastro/PredCrim: Tools for spatio-temporal prediction of crimes in Manaus, Brazil

Description

This function develops an one-step ahead prediction algorithm based on Poisson dynamic generalized linear model (DGLM) for the count of crime in Manaus.

Usage

predCrimMaoWeb(x, type = "ROUBO", delta = 0.89, by1 = "week", m0 = NULL,
  c0 = NULL, r.t0 = NULL, s.t0 = NULL, sigVg = NULL)

Arguments

x	A data frame containig the following columns:LAT,LONG,DATA,DIA.SEMANA, HORA,PERIODO,Crime.
type	Character string giving the type of crime to make the predictions. In this version only "ROUBO" is available.
delta	Discount factor.
by1	Character string specifying the periodicity of the counts. In this version only "week" is available.

Value

A map that provides predictions of crime intensity and the mean square error.

References

Harrison, Jeff, and Mike West. Bayesian forecasting & dynamic models. New York: Springer, 1999.

TRIANTAFYLLOPOULOS, K. Dynamic z generalized linear models for non-Gaussian time series forecasting. arXiv preprint arXiv:0802.0219, 2008.

Examples

data(lastFiveWeek)
predCrimMaoWeb(lastFiveWeek,type="ROUBO",by1="week")

lrcastro/PredCrim documentation built on May 21, 2019, 7:52 a.m.