Datasets: Datasets

Description Usage Format Author(s) Examples

View source: R/datasets.R

Description

Several datasets have been included in the sppmix package. They are all open source datasets that have been processed into ppp objects. Many examples and tutorials use these datasets.

For basic examples see

http://faculty.missouri.edu/~micheasa/sppmix/sppmix_all_examples.html#Datasets

ChicagoCrime2015

The 2015 Chicago crime dataset (http://data.cityofchicago.org/Public-Safety/Crimes-2001-to-present/ijzp-q8t2) contains the reported locations of homicide cases in Chicago during the year 2015. The sppmix package object ChicagoCrime2015 is a marked point pattern containing the crime locations for two types of crimes; kidnappings coded as 0, and homicides coded as 1. In particular, there are 654 reported incident locations, 188 kidnappings, and 466 homicides.

ChicagoArea

The ChicagoArea object contains the coordinates for the different neighborhoods of the city of Chicago.

CAQuakes2014

The Southern California Earthquake Data Center (SCEDC, Southern California Earthquake Center, Caltech, Dataset: doi:10.7909/C3WD3xH1), operates at the Seismological Laboratory at Caltech and is the primary archive of seismological data for southern California, recording the seismological activity from 1932 to present. Here we concentrate on the year 2014, and all this data is contained in a marked point process object named CAQuakes2014. There are two continuous variables containing marks for the events, including variable mag which represents the magnitude of the earthquake and variable depth representing the depth.

CAQuakes2014.RichterOver3.0

In many examples we further restrict to events with magnitudes over 3.0 in the Richter scale. The latter marked point pattern is aplty named CAQuakes2014.RichterOver3.0.

TornadoesAll

The National Oceanic and Atmospheric Administration (NOAA, http://www.noaa.gov/) is a U.S.A. agency tasked with the dissemination of daily weather forecasts and severe storm warnings, as well as, conducting climate monitoring among many other important tasks. The Storm Prediction Center of NOAA contains important information on tornado occurrences throughout the U.S., starting from 1950 all the way to the present. All this information is contained in the data.frame object TornadoesAll. The variables (columns) included are as follows: 1="RecordNumber", 2="Year", 3="Month", 4="Day", 5="Date:yyyy-mm-dd", 6="Time:HH:MM:SS", 7="State", 8="Fscale", 9="Injuries" 10="Fatalities", 11="Estimated property loss", 12="Estimated crop loss", 13="Starting latitude", 14="Starting longitude", 15="Length in miles", and 16="Width in yards".

Note that each event (row) is marked using one of 6 levels (variable Fscale), each denoting the strength of a tornado in the Fujita scale (Enhanced Fujita scale after January, 2007), with 0 denoting minimal damage and 5 indicating complete destruction.

Tornadoes2011MO

In many examples we use the marked point pattern for year 2011 (a single time snap-shot), contained in the object Tornadoes2011MO, in order to study the behavior of the events of that year; this year is of particular interest since on Sunday, May 22, 2011, Joplin Missouri, USA, was struck by a destructive tornado resulting in over 150 deaths and $2.8 billion in damages.

ContinentalUSA_state_names

In several examples we use the names of the USA states. This data is contained in the object ContinentalUSA_state_names.

MOAggIncomeLevelsPerCounty

In some examples we use the aggregate income levels per county for the state of Missouri, USA. This data is contained in the object MOAggIncomeLevelsPerCounty.

USAStatesCounties2016

In many examples we use the boundaries of the states and counties of the USA. The Cartographic Boundary Shapefiles (boundary data) is provided by the USA Census Bureau at https://www.census.gov/geo/maps-data/data/tiger-cart-boundary.html. This is a list containing StateNames (the state and territory names, 56 total), StatePolygons (a list of size 56, containing a list of matrices describing the boundaries of the states/territories), and CountiesbyState (a list of size 56, with each list element a list containing element CountyName and CountyPolies, describing the county name of the specific state and polygons used). For example, USAStatesCounties2016$StateNames[1] is Alabama, and USAStatesCounties2016$CountiesbyState[[1]]$CountyName[1] corresponds to Escambia county which can be plotted using the boundary coordinates in USAStatesCounties2016$CountiesbyState[[1]]$CountyPolies[[1]].

Usage

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Format

All datasets are objects of type ppp and sppmix, except for object USAStatesCounties2016.

Author(s)

Sakis Micheas

Examples

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sppmix documentation built on Jan. 13, 2021, 10:04 p.m.