Joseph Stachelek

Joseph Stachelek

14 packages on CRAN

dams

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The single largest source of dams in the United States is the National Inventory of Dams (NID) <http://nid.usace.army.mil> from the US Army Corps of Engineers. Entire data from the NID cannot be obtained all at once and NID's website limits extraction of more than a couple of thousand records at a time. Moreover, selected data from the NID's user interface cannot not be saved to a file. In order to make the analysis of this data easier, all the data from NID was extracted manually. Subsequently, the raw data was checked for potential errors and cleaned. This package provides sample cleaned data from the NID and provides functionality to access the entire cleaned NID data.

dbhydroR

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Client for programmatic access to the South Florida Water Management District's 'DBHYDRO' database at <https://www.sfwmd.gov/science-data/dbhydro>, with functions for accessing hydrologic and water quality data.

ipdw

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Functions are provided to interpolate geo-referenced point data via Inverse Path Distance Weighting. Useful for coastal marine applications where barriers in the landscape preclude interpolation with Euclidean distances.

LAGOSNE

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Client for programmatic access to the Lake Multi-scaled Geospatial and Temporal database <https://lagoslakes.org>, with functions for accessing lake water quality and ecological context data for the US.

nesRdata

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Serves data from the United States Environmental Protection Agency (USEPA) National Eutrophication Survey <https://www.epa.gov/national-aquatic-resource-surveys>.

nhdR

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Tools for working with the National Hydrography Dataset, with functions for querying, downloading, and networking both the NHD <https://www.usgs.gov/core-science-systems/ngp/national-hydrography> and NHDPlus <https://nhdplus.com/NHDPlus/> datasets.

nlaR

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Client for programmatic access to the 2007 and 2012 National Lakes Assessment database <https://www.epa.gov/national-aquatic-resource-surveys/nla> containing data for hundreds of lakes in the lower 48 states of the contiguous US.

rv

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Implements a simulation-based random variable class and a suite of methods for extracting parts of random vectors, calculating extremes of random vectors, and generating random vectors under a variety of distributions following Kerman and Gelman (2007) <doi:10.1007/s11222-007-9020-4>.

wikilake

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Scrape lake metadata tables from Wikipedia <http://www.wikipedia.org>.

cdlTools

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Downloads USDA National Agricultural Statistics Service (NASS) cropscape data for a specified state. Utilities for fips, abbreviation, and name conversion are also provided. Full functionality requires an internet connection, but data sets can be cached for later off-line use.

lakemorpho

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Lake morphometry metrics are used by limnologists to understand, among other things, the ecological processes in a lake. Traditionally, these metrics are calculated by hand, with planimeters, and increasingly with commercial GIS products. All of these methods work; however, they are either outdated, difficult to reproduce, or require expensive licenses to use. The 'lakemorpho' package provides the tools to calculate a typical suite of these metrics from an input elevation model and lake polygon. The metrics currently supported are: fetch, major axis, minor axis, major/minor axis ratio, maximum length, maximum width, mean width, maximum depth, mean depth, shoreline development, shoreline length, surface area, and volume.

rnassqs

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Interface to access data via the United States Department of Agriculture's National Agricultural Statistical Service (NASS) 'Quick Stats' web API <https://quickstats.nass.usda.gov/api>. Convenience functions facilitate building queries based on available parameters and valid parameter values.

rnoaa

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Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at <https://www.ncdc.noaa.gov/cdo-web/webservices/v2>, with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.

vapour

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Provides low-level access to 'GDAL' functionality for R packages. The aim is to minimize the level of interpretation put on the 'GDAL' facilities, to enable direct use of it for a variety of purposes. 'GDAL' is the 'Geospatial Data Abstraction Library' a translator for raster and vector geospatial data formats that presents a single raster abstract data model and single vector abstract data model to the calling application for all supported formats <http://gdal.org/>. Other available packages 'rgdal' and 'sf' also provide access to the 'GDAL' library, but neither can be used for these lower level tasks, and both do many other tasks.