In MarcSchneble/geonet: Intensity Estimation on Geometric Networks with Penalized Splines

knitr::opts_chunk$set(
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geonet

The goal of geonet is to provide a tool for the estimation of the intensity function of a spatial point process on a geometric network. It makes use of generalized additive model (GAM) theory and has a similar workaround. In comparison to other methods, it allows to include external and internal covariates in the model, see the example below.

Installation

You can install the released version of geonet from CRAN with:

install.packages("geonet")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("MarcSchneble/geonet")

Example

This is a basic example which shows you how to solve a common problem:

library(geonet)
library(spatstat.data)

X <- as_gnpp(chicago)
delta <- 10
formula <- X ~ marks + x + y

model <- intensity_pspline(X, formula = formula, delta = delta,
                           scale = list(x = 1/1000, y = 1/1000))
summary(model)
plot(model)

MarcSchneble/geonet documentation built on Jan. 28, 2023, 7:49 p.m.