The goal of spacejamr is to enable social network analysis where conventional collection of social network data would be impossible. It does this by providing tools to prepare shapefiles, simulate spatial point processes, generate networks from those point processes using a spatial interaction function. It also contains plot methods that return 'ggplot2' objects that can be further refined.
You can install the released version of spacejamr from CRAN with:
install.packages("spacejamr")library(spacejamr)
# Load Rhode Island dataset
data(RI)
# Spatial Poisson point process
ri_points <- PointProcess(points = 5000, window = RI, seed = 88)
# Halton sequence
ri_seq <- haltonSeq(points = 5000, window = RI, seed = 9)
# Standard power law SIF
rinet_standard <- NetSim(point_process = ri_points, base_prob = 0.95,
scale = 100, threshold = 0.5, power = -2.3)
# Attenuated power law SIF
rinet_apl <- NetSim(point_process = ri_points, type = attenuated,
base_prob = 0.93, scale = 100, threshold = 0.5,
power = -1.9)
# Arctangent probability law SIF
rinet_arctan <- NetSim(point_process = ri_points, type = arctan,
base_prob = 0.93, scale = 100, threshold = 0.5,
power = -1.9)
# Exponential decay law SIF
rinet_arctan <- NetSim(point_process = ri_points, type = decay,
base_prob = 0.93, scale = 100, threshold = 0.5,
power = -1.9)
# Logistic probability law SIF
rinet_arctan <- NetSim(point_process = ri_points, type = logistic,
base_prob = 0.93, scale = 100, threshold = 0.5,
power = -1.9)
# Boundaries
plot(RI)
# Point process or sequence realization
plot(ri_points)
plot(ri_seq)
# Network generated from SIF
plot(rinet_standard)
plot(rinet_apl)
compare_networks(rinet_standard, rinet_apl)
Creator: Darren Colby
Creater ORCID: 0000-0001-8468-2755
Maintainer: Darren Colby
Maintainer email: [email protected]
Current version: 0.2
License: MIT