Showing 30 of total 30 results (show query)
theomichelot
moveHMM:Animal Movement Modelling using Hidden Markov Models
Provides tools for animal movement modelling using hidden Markov models. These include processing of tracking data, fitting hidden Markov models to movement data, visualization of data and fitted model, decoding of the state process, etc. <doi:10.1111/2041-210X.12578>.
Maintained by Theo Michelot. Last updated 1 years ago.
38 stars 8.63 score 112 scripts
arilamstein
choroplethr:Simplify the Creation of Choropleth Maps in R
Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. This package simplifies this process by 1. Providing ready-made functions for creating choropleths of common maps. 2. Providing data and API connections to interesting data sources for making choropleths. 3. Providing a framework for creating choropleths from arbitrary shapefiles. 4. Overlaying those maps over reference maps from Google Maps.
Maintained by Zhaochen He. Last updated 1 days ago.
3 stars 7.37 score 860 scripts 1 dependents
eldarrak
FLightR:Reconstruct Animal Paths from Solar Geolocation Loggers Data
Spatio-temporal locations of an animal are computed from annotated data with a hidden Markov model via particle filter algorithm. The package is relatively robust to varying degrees of shading. The hidden Markov model is described in Movement Ecology - Rakhimberdiev et al. (2015) <doi:10.1186/s40462-015-0062-5>, general package description is in the Methods in Ecology and Evolution - Rakhimberdiev et al. (2017) <doi:10.1111/2041-210X.12765> and package accuracy assessed in the Journal of Avian Biology - Rakhimberdiev et al. (2016) <doi:10.1111/jav.00891>.
Maintained by Eldar Rakhimberdiev. Last updated 6 months ago.
movement-ecologysolar-geolocation-loggerssolar-geolocator
23 stars 7.28 score 111 scripts
geanders
hurricaneexposure:Explore and Map County-Level Hurricane Exposure in the United States
Allows users to create time series of tropical storm exposure histories for chosen counties for a number of hazard metrics (wind, rain, distance from the storm, etc.). This package interacts with data available through the 'hurricaneexposuredata' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/geanders/hurricaneexposure>. The size of the 'hurricaneexposuredata' package is approximately 20 MB. This work was supported in part by grants from the National Institute of Environmental Health Sciences (R00ES022631), the National Science Foundation (1331399), and a NASA Applied Sciences Program/Public Health Program Grant (NNX09AV81G).
Maintained by Brooke Anderson. Last updated 5 years ago.
34 stars 6.70 score 49 scripts 1 dependents
trackerproject
trackeR:Infrastructure for Running, Cycling and Swimming Data from GPS-Enabled Tracking Devices
Provides infrastructure for handling running, cycling and swimming data from GPS-enabled tracking devices within R. The package provides methods to extract, clean and organise workout and competition data into session-based and unit-aware data objects of class 'trackeRdata' (S3 class). The information can then be visualised, summarised, and analysed through flexible and extensible methods. Frick and Kosmidis (2017) <doi: 10.18637/jss.v082.i07>, which is updated and maintained as one of the vignettes, provides detailed descriptions of the package and its methods, and real-data demonstrations of the package functionality.
Maintained by Ioannis Kosmidis. Last updated 1 years ago.
90 stars 6.37 score 58 scripts 1 dependents
reconhub
epiflows:Predicting Disease Spread from Flow Data
Provides functions and classes designed to handle and visualise epidemiological flows between locations. Also contains a statistical method for predicting disease spread from flow data initially described in Dorigatti et al. (2017) <doi:10.2807/1560-7917.ES.2017.22.28.30572>. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.
Maintained by Pawel Piatkowski. Last updated 2 years ago.
18 stars 6.16 score 20 scripts
ropensci
refsplitr:author name disambiguation, author georeferencing, and mapping of coauthorship networks with 'Web of Science' data
Tools to parse and organize reference records downloaded from the 'Web of Science' citation database into an R-friendly format, disambiguate the names of authors, geocode their locations, and generate/visualize coauthorship networks. This package has been peer-reviewed by rOpenSci (v. 1.0).
Maintained by Emilio Bruna. Last updated 8 days ago.
name disambiguationbibliometricscoauthorshipcollaborationgeoreferencingmetasciencereferencesscientometricsscience of scienceweb of science
56 stars 5.83 score 16 scripts
ilapros
rnrfa:UK National River Flow Archive Data from R
Utility functions to retrieve data from the UK National River Flow Archive (<https://nrfa.ceh.ac.uk/>, terms and conditions: <https://nrfa.ceh.ac.uk/costs-terms-and-conditions>). The package contains R wrappers to the UK NRFA data temporary-API. There are functions to retrieve stations falling in a bounding box, to generate a map and extracting time series and general information. The package is fully described in Vitolo et al (2016) "rnrfa: An R package to Retrieve, Filter and Visualize Data from the UK National River Flow Archive" <https://journal.r-project.org/archive/2016/RJ-2016-036/RJ-2016-036.pdf>.
Maintained by Ilaria Prosdocimi. Last updated 10 months ago.
2 stars 5.71 score 51 scripts
rafael-ayala
openSkies:Retrieval, Analysis and Visualization of Air Traffic Data
Provides functionalities and data structures to retrieve, analyze and visualize aviation data. It includes a client interface to the 'OpenSky' API <https://opensky-network.org>. It allows retrieval of flight information, as well as aircraft state vectors.
Maintained by Rafael Ayala. Last updated 1 years ago.
11 stars 5.60 score 36 scriptsgeanders
noaastormevents:Explore NOAA Storm Events Database
Allows users to explore and plot data from the National Oceanic and Atmospheric Administration (NOAA) Storm Events database through R for United States counties. Functionality includes matching storm event listings by time and location to hurricane best tracks data. This work was supported by grants from the Colorado Water Center, the National Institute of Environmental Health Sciences (R00ES022631) and the National Science Foundation (1331399).
Maintained by Brooke Anderson. Last updated 4 years ago.
16 stars 5.41 score 16 scripts
simondedman
movegroup:Visualizing and Quantifying Space Use Data for Groups of Animals
Offers an easy and automated way to scale up individual-level space use analysis to that of groups. Contains a function from the 'move' package to calculate a dynamic Brownian bridge movement model from movement data for individual animals, as well as functions to visualize and quantify space use for individuals aggregated in groups. Originally written with passive acoustic telemetry in mind, this package also provides functionality to account for unbalanced acoustic receiver array designs, and satellite tag data.
Maintained by Simon Dedman. Last updated 2 months ago.
brownian-bridgehome-rangehome-range-analysismigrationresidencyspace-usetracking
18 stars 5.26 score 4 scripts
dschafer
activatr:Utilities for Parsing and Plotting Activities
This contains helpful functions for parsing, managing, plotting, and visualizing activities, most often from GPX (GPS Exchange Format) files recorded by GPS devices. It allows easy parsing of the source files into standard R data formats, along with functions to compute derived data for the activity, and to plot the activity in a variety of ways.
Maintained by Daniel Schafer. Last updated 8 months ago.
8 stars 5.26 score 15 scripts
sevvandi
stxplore:Exploration of Spatio-Temporal Data
A set of statistical tools for spatio-temporal data exploration. Includes simple plotting functions, covariance calculations and computations similar to principal component analysis for spatio-temporal data. Can use both dataframes and stars objects for all plots and computations. For more details refer 'Spatio-Temporal Statistics with R' (Christopher K. Wikle, Andrew Zammit-Mangion, Noel Cressie, 2019, ISBN:9781138711136).
Maintained by Sevvandi Kandanaarachchi. Last updated 2 years ago.
5 stars 4.70 score 7 scriptstrackerproject
trackeRapp:Interface for the Analysis of Running, Cycling and Swimming Data from GPS-Enabled Tracking Devices
Provides an integrated user interface and workflow for the analysis of running, cycling and swimming data from GPS-enabled tracking devices through the 'trackeR' <https://CRAN.R-project.org/package=trackeR> R package.
Maintained by Ioannis Kosmidis. Last updated 3 years ago.
data-visualizationshinysports-appweb-appweb-development
32 stars 4.68 score 2 scripts
telfer
pressuRe:Imports, Processes, and Visualizes Biomechanical Pressure Data
Allows biomechanical pressure data from a range of systems to be imported and processed in a reproducible manner. Automatic and manual tools are included to let the user define regions (masks) to be analyzed. Also includes functions for visualizing and animating pressure data. Example methods are described in Shi et al., (2022) <doi:10.1038/s41598-022-19814-0>, Lee et al., (2014) <doi:10.1186/1757-1146-7-18>, van der Zward et al., (2014) <doi:10.1186/1757-1146-7-20>, Najafi et al., (2010) <doi:10.1016/j.gaitpost.2009.09.003>, Cavanagh and Rodgers (1987) <doi:10.1016/0021-9290(87)90255-7>.
Maintained by Scott Telfer. Last updated 9 days ago.
2 stars 4.62 score
julien-hec
BKTR:Bayesian Kernelized Tensor Regression
Facilitates scalable spatiotemporally varying coefficient modelling with Bayesian kernelized tensor regression. The important features of this package are: (a) Enabling local temporal and spatial modeling of the relationship between the response variable and covariates. (b) Implementing the model described by Lei et al. (2023) <doi:10.48550/arXiv.2109.00046>. (c) Using a Bayesian Markov Chain Monte Carlo (MCMC) algorithm to sample from the posterior distribution of the model parameters. (d) Employing a tensor decomposition to reduce the number of estimated parameters. (e) Accelerating tensor operations and enabling graphics processing unit (GPU) acceleration with the 'torch' package.
Maintained by Julien Lanthier. Last updated 8 months ago.
2 stars 4.53 score 17 scripts
liviobaetscher
ElevDistr:Calculate the Distance to the Nearest Local Treeline
A method to calculate the distance to the climatic tree line for large data sets of coordinates (World Geodetic System 1984) with geographical uncertainty. The default thresholds and the treeline definition is based on Paulsen and Körner (2014) <doi:10.1007/s00035-014-0124-0>, users are free to decide what climate layers they would like to use.
Maintained by Livio Bätscher. Last updated 6 months ago.
4.40 score 3 scripts
jsspaulding
rcrimeanalysis:An Implementation of Crime Analysis Methods
An implementation of functions for the analysis of crime incident or records management system data. The package implements analysis algorithms scaled for city or regional crime analysis units. The package provides functions for kernel density estimation for crime heat maps, geocoding using the 'Google Maps' API, identification of repeat crime incidents, spatio-temporal map comparison across time intervals, time series analysis (forecasting and decomposition), detection of optimal parameters for the identification of near repeat incidents, and near repeat analysis with crime network linkage.
Maintained by Jamie Spaulding. Last updated 2 years ago.
5 stars 4.40 score 5 scripts
takahiroshimada
SDLfilter:Filtering and Assessing the Sample Size of Tracking Data
Functions to filter GPS/Argos locations, as well as assessing the sample size for the analysis of animal distributions. The filters remove temporal and spatial duplicates, fixes located at a given height from estimated high tide line, and locations with high error as described in Shimada et al. (2012) <doi:10.3354/meps09747> and Shimada et al. (2016) <doi:10.1007/s00227-015-2771-0>. Sample size for the analysis of animal distributions can be assessed by the conventional area-based approach or the alternative probability-based approach as described in Shimada et al. (2021) <doi:10.1111/2041-210X.13506>.
Maintained by Takahiro Shimada. Last updated 1 years ago.
7 stars 3.77 score 17 scripts
henryrscharf
anipaths:Animation of Multiple Trajectories with Uncertainty
Animation of observed trajectories using spline-based interpolation (see for example, Buderman, F. E., Hooten, M. B., Ivan, J. S. and Shenk, T. M. (2016), <doi:10.1111/2041-210X.12465> "A functional model for characterizing long-distance movement behaviour". Methods Ecol Evol). Intended to be used exploratory data analysis, and perhaps for preparation of presentations.
Maintained by Henry Scharf. Last updated 1 months ago.
2.92 score 14 scripts
inventionate
TimeSpaceAnalysis:Statistical tools for time-space analysis
Use Geometric Data Analysis approaches (e.g. MCA or MFA), time pattern analysis (see "time sequence clustering") and places chronologies (see "time geography") analysis.
Maintained by Fabian Mundt. Last updated 24 days ago.
2.48 score 2 scripts
atsa-es
atsalibrary:Packages, data and scripts for ATSA course and lab book
This package will load the needed packages and data files for the ATSA course material when students install from GitHub.
Maintained by Elizabeth E. Holmes. Last updated 2 years ago.
4 stars 2.41 score 13 scripts
katilingban
katilingban:General Purpose Functions for Katilingban
To support general and non-specific organisational tasks requiring or supported by R, this package provides general purpose functions that facilitate performant and efficient implementation of standardised workflows. This is particularly useful for website update, newsletter generation, reports, notes and other related tasks that are or will be automated or supported within R.
Maintained by Ernest Guevarra. Last updated 1 years ago.
1 stars 1.70 score
cran
WhatsR:Parsing, Anonymizing and Visualizing Exported 'WhatsApp' Chat Logs
Imports 'WhatsApp' chat logs and parses them into a usable dataframe object. The parser works on chats exported from Android or iOS phones and on Linux, macOS and Windows. The parser has multiple options for extracting smileys and emojis from the messages, extracting URLs and domains from the messages, extracting names and types of sent media files from the messages, extracting timestamps from messages, extracting and anonymizing author names from messages. Can be used to create anonymized versions of data.
Maintained by Julian Kohne. Last updated 1 years ago.
1.70 score
matthewgerber
SensusR:Sensus Analytics
Provides access and analytic functions for Sensus data.
Maintained by Matthew S. Gerber. Last updated 6 years ago.
1.48 score 30 scripts
rachel-carroll
eiExpand:Utilities for Expanding Functionality of 'eiCompare'
Augments the 'eiCompare' package's Racially Polarized Voting (RPV) functionality to streamline analyses and visualizations used to support voting rights and redistricting litigation. The package implements methods described in Barreto, M., Collingwood, L., Garcia-Rios, S., & Oskooii, K. A. (2022). "Estimating Candidate Support in Voting Rights Act Cases: Comparing Iterative EI and EI-R×C Methods" <doi:10.1177/0049124119852394>.
Maintained by Rachel Carroll. Last updated 2 years ago.
1.23 score 17 scriptscran
sidier:Substitution and Indel Distances to Infer Evolutionary Relationships
Evolutionary reconstruction based on substitutions and insertion-deletion (indels) analyses in a distance-based framework.
Maintained by A.J. Muñoz-Pajares. Last updated 4 years ago.
1.00 score
shabbychef
HappyCampR:Shiny App to Find Campgrounds
A Shiny app to find campgrounds.
Maintained by Steven E. Pav. Last updated 1 years ago.
1.00 score
smorenoa
ODMeans:OD-Means: k-Means for Origin-Destination
OD-means is a hierarchical adaptive k-means algorithm based on origin-destination pairs. In the first layer of the hierarchy, the clusters are separated automatically based on the variation of the within-cluster distance of each cluster until convergence. The second layer of the hierarchy corresponds to the sub clustering process of small clusters based on the distance between the origin and destination of each cluster.
Maintained by Sebastian Moreno. Last updated 1 years ago.
1.00 score