Datasets: Datasets
In sppmix: Modeling Spatial Poisson and Related Point Processes
Description
Usage
Format
Author(s)
Examples
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
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
Format
All datasets are objects of type ppp and sppmix, except for object USAStatesCounties2016.
Author(s)
Sakis Micheas
Examples
1
2
3
4
5
6
7
8
9
ChicagoCrime2015
summary(ChicagoCrime2015)
plot(ChicagoCrime2015)+add_title("Chicago Crime, 2015")
CAQuakes2014.RichterOver3.0
summary(CAQuakes2014.RichterOver3.0)
plot(CAQuakes2014.RichterOver3.0)+add_title("Earthquakes in California, 2014")
Tornadoes2011MO
summary(Tornadoes2011MO)
plot(Tornadoes2011MO)+add_title("Tornado events about Missouri, 2011")
sppmix documentation built on Jan. 13, 2021, 10:04 p.m.
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Description Usage Format Author(s) Examples
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
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 |
Format
All datasets are objects of type ppp and sppmix, except for object USAStatesCounties2016.
Author(s)
Sakis Micheas
Examples
1 2 3 4 5 6 7 8 9 | ChicagoCrime2015
summary(ChicagoCrime2015)
plot(ChicagoCrime2015)+add_title("Chicago Crime, 2015")
CAQuakes2014.RichterOver3.0
summary(CAQuakes2014.RichterOver3.0)
plot(CAQuakes2014.RichterOver3.0)+add_title("Earthquakes in California, 2014")
Tornadoes2011MO
summary(Tornadoes2011MO)
plot(Tornadoes2011MO)+add_title("Tornado events about Missouri, 2011")
|
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