Available Data

Available Data for MazamaSpatialUtils

This document provides documentation for the most important of the available datasets that can be used with MazamaSpatialUtils.

Spatial datasets that have been converted to objects of class \code{SpatialPolygonsDataFrame} and adhere to the MazamaSpatialUtils standards are considerd to be "harmonized".

For reproducibility, the R code that ingests and harmonizes each spatial dataset is included in the package as a \code{convert()} function. Most of the resulting datasets have been been pre-generated and can be downloaded from http://data.mazamascience.com/MazamaSpatialUtils/Spatial_0.7/.

Built in data

MazamaSpatialUtils has three built-in datasets which are included with the package when it is installed. Each of these is a simplified dataset suitable for quick identification of \code{countryCode} or \code{timezone}.

Downloadable data

Running installSpatialData() allows users to install the following pregenerated datasets, which can then be loaded with loadSpatialData(<dataset>)

Dataset Descriptions

CA_AirBasins:

Use convertCARBAirBasins() to download and convert this dataset.

The California Air Basins dataset is a SpatialPolygonsDataFrame representing the 15 California air basins. Air Basins are designated pursuant to California statute and regulation and identify regions of similar meteorological and geographic conditions. Political boundaries are also considered in determining the air basin boundaries.

See the California Health and Safety Code, Section 39606 et seq. and California Code of Regulations, Title 17, Section 60100 et seq.

March, 2004 version.

EPARegions

Use convertEPARegions() to download and convert this dataset.

The EPARegions dataset is a SpatialPolygonsDataFrame representing the boundaries of the ten Regional Offices of the United States Environmental Protection Agency in the United States. Each regional office monitors the environmental regulations within a group of states.

7/26/2019 Version

GACC

Use convertGACC() to download and convert this dataset.

The GACC dataset is a SpatialPolygonsDataFrame representing the Geographic Area Coordination Center (GACC) boundaries. GACCs are defined as, "The physical location of an interagency, regional operation center for the effective coordination, mobilization and demobilization of emergency management resources."
A coordination center serves federal, state and local wildland fire agencies through logistical coordination of resources throughout the geographic area, and with other geographic areas, as well.

The United States and Alaska are divided into 11 Geographic Areas for the purpose of incident management and mobilization of resources (people, aircraft, ground equipment). Within each Area, an interagency Geographic Area Coordinating Group (GACG), made up of Fire Directors from each of the Federal and State land management agencies from within the Area, is established.

(NOTE: the current geojson download link seems to be dead. A new, shapefile based, link to the data is https://opendata.arcgis.com/datasets/7dc5f4a286bd47e0aaafa0ab05302fe9_0.zip)

GADM

Use convertGADM() to download and convert this dataset.

The GADM dataset is a SpatialPolygonsDataFrame representing the administrative divisions of a specific country at a specific administrative level. GADM, the Database of Global Administrative Areas, is a high-resolution database of country administrative areas.

NOTE: This script will generate .rda files named GADM_<countryCode>_<admLevel>.rda and requires user input to specify the country and admin level desired. For example, to generate Admin 1 level boundaries for Belgium, run convertGADM(countryCode = "BE", admLevel = 1.
This will create GADM_BE_1.rda. Not all countries have the same number of levels. Many just have two levels while France has five.

HIFLDFederalLands

Use convertHIFLDFederalLands() to download and convert this dataset.

The HIFLDFederalLands dataset is a SpatialPolygonsDataFrame representing the federally owned or administered lands and Indian Reservations of the United States, Puerto Rico, and the US Virgin Islands. Only areas of 640 acres or more are included in this dataset.

HMSSmoke

Use convertHMSSmoke() to download and convert this dataset.

The HMSSmoke dataset is a SpatialPolygonsDataFrame representing the areas of smoke identified for a specific day. This data is derived from analysis of visible satellite imagery obtained during daylight hours.

NOTE: This script will generate .rda files named HMSSmoke_<datestamp> and requires user input to specify the date of interest using the datestamp parameter in the format of datestamp = "YYYYmmdd".

MTBSBurnAreas

Use convertMTBSBurnArea() to download and convert this datset.

The MTBSBurnAreas dataset is a SpatialPolygonsDataFrame representing all large wildland fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2017. All fires reported as greater than 1,000 acres in the western US and greater than 500 acres in the eastern US are mapped across all ownerships.

August 22, 2019 Version

NWSFireZones

Use convertNWSFireZones() to download and convert this data set.

The NWSFireZones dataset is a SpatialPolygonsDataFrame representing weather forecast zones. These areas are used to delineate the Fire Weather Zones that are used by National Weather Service (NWS) in the fire weather forecast program.

PHDs

Use convertPHDs() to download and convert this data set.

The PHDs dataset is a SpatialPolygonsDataFrame representing Public Health Districts for Washington, Oregon, Idaho, and California. This is Mazama internal data obtained from USFS AirFire.

SimpleCountries

Use convertSimpleCountries() to download and convert this data set.

The SimpleCountries dataset is a SpatialPolygonsDataFrame representing country borders. It is a greatly simplified version of the TMWorldBorders shapefile and is especially suited for spatial searches. Users may wish to use a higher resolution dataset when plotting.

30 July 2008 Version

SimpleCountriesEEZ

Use convertSimpleCountriesEEZ() to download and convert this data set.

The SimpleCountriesEEZ dataset is a SpatialPolygonsDataFrame representing simple world divisions which match those in the EEZCountries layer. Polygons for coastal countries include a 200 mile buffer, corresponding to their Exclusive Economic Zones, so this layer is especially suited for spatial searches. This is the default dataset used in getCountry() and getCountryCode().

SimpleTimeZones

Use convertSimpleTimezones() to download and convert this data set.

The SimpleTimeZones dataset is a SpatialPolygonsDataFrame representing timezones of the world.

May 28, 2016 Version

HouseLegislativeDistricts

Use convertStateLegislativeDistricts() to download and convert this data set.

This creates a SpatialPolygonsDataFrame for US State Legislative Districts.
User input is required to specify the stateCode (2-digit ISO 3166) and which house (Upper or Lower chamber) the data should represent. For example, to obtain data on the Washington State Senate Legislative Districts, run convertStateLegislativeDistricts(stateCode = "WA", house = "Upper"). This will generate a file named WA_upperHouseLegislativeDistricts.rda

TMWorldBordersSimple

Use convertTMWorldBordersSimple() to download and convert this data set.

The TMWorldBordersSimple dataset is a simplified version of the TMWorldBorders layer which is useful for spatial searches. Users may wish to use a higher resolution dataset when plotting.

USCensusCBSA

Use convertUSCensusCBSA() to download and convert this data set.

The USCensusCBSA dataset is a SpatialPolygonsDataFrame which represents Core Based Statistical Areas (CBSAs) as defined by the Office of Management and Budget (OMB). CBSAs consist of the county or counties or equivalent entities associated with at least one core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties associated with the core.

2017 Version

USCensusUrbanAreas

Use convertUSCensusUrbanAreas() to download and convert this data set.

The USCensusUrbanAreas dataset is a SpatialPolygonsDataFrame which represent the urban areas delineated by the US Census that represent densely developed territory. There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people.

2018 Version

USFSRangerDistricts

Use convertUSFSRangerDistricts() to download and convert this data set.

The USFSRangerDistricts dataset is a SpatialPolygonsDataFrame representing US Forest Service ranger district administrative boundaries. Ranger districts are sub units of National Forests intended to identify the specific organizational units that administer areas.

Feb 3, 2020 Version

WBDHU

Use convertWBDHUC() to download and convert this data set.

This creates a SpatialPolygonsDataFrame that represents a specific level of hydrologic unit from national Watershed Boundary Dataset (WBD). This is a seamless, national dataset which represents the area of the landscape that drains to a portion of the stream network.

User input is required to specify the level of data to generate. The level must be one of the following: [2, 4, 6, 8, 10, 12 or 14]. To generate a Level 8 data set, run convertWBDHUC(level = 8) which will generate a file named WBDHU8.rda.

WeatherZones

Use convertWeatherZones() to download and convert this data set.

This creates a SpatialPolygonsDataFrame that represents public zone weather forecast areas. The NWS issues forecasts, and some watches and warnings, for public zones which are usually the same as counties but in many cases are subsets of counties. Counties are subset into smaller zones to allow for more accurate forecasts because of differences in weather within a county due to such things as elevation, or proximity to large bodies of water.

WorldEEZ

Use convertWorldEEZ() to download and convert this data set.

This creates a SpatialPolygonsDataFrame that represents World Exclusive Economic Zones Boundaries. An exclusive economic zone is a sea zone prescribed by the 1982 United Nations Convention on the Law of the Sea over which a state has special rights regarding the exploration and use of marine resources, including energy production from water and wind.

Version 8




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MazamaSpatialUtils documentation built on Jan. 13, 2021, 4:35 p.m.