terrorism_aggregate: A cleaned aggregated dataset orginally taken from the global...

In cmjt/lgcpSPDE: Fitting and Simulation for log-Gaussian Cox processes using INLA/SPDE approach

Description

A cleaned aggregated dataset orginally taken from the global terrorism database (GTD) (http://www.start.umd.edu/gtd/) containing information of terrorism activity worldwide 2010–2017

Usage

data(terrorism_aggregate)

Format

A data frame containing 10845 rows and 20 variables:

latitude

latitude location

longitude

longitude location

iyear

year index 2010–2016

total

total number of events

lethal

number of lethal events

imonth

numeric month index 1–12

iday

numeric day 1–31 (zeros are a non-entry)

country

country

sucess

Logical fatal or not. TRUE = fatal

nkill

total number of fatalities

specificity

factor which represents the apatial accuracy of the evets: 1 = most accurate, 5 = worst

gname

character name of attack perpetrators

x.coord

x coordinate from location projected onto a sphere

y.coord

y coordinate from location projected onto a sphere

z.coord

z coordinate from location projected onto a sphere

popdensity

scaled: number of people per kilometer squared

luminosity

scaled: luminosity

tt

scaled: time to nearest city in minutes

country.idx

numeric country index

originalcount

total number of fatalities

cmjt/lgcpSPDE documentation built on July 25, 2019, 3:05 p.m.