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Showing 79 of total 79 results (show query)

urbaninstitute

urbnthemes:Additional theme and utilities for "ggplot2" in the Urban Institute style

Align "ggplot2" output more closely with the Urban Institute Data Visualization style guide <https://urbaninstitute.github.io/r-at-urban/graphics-guide.html>.

Maintained by Aaron R. Williams. Last updated 3 years ago.

52.1 match 79 stars 5.36 score 290 scripts

myaseen208

PakPC2023:Pakistan Population Census 2023

Provides data sets and functions for exploration of Pakistan Population Census 2023 (<https://www.pbs.gov.pk/>).

Maintained by Muhammad Yaseen. Last updated 5 months ago.

54.2 match 1 stars 4.18 score 2 scripts 1 dependents

ipeagit

uci:Urban Centrality Index

Calculates the Urban Centrality Index (UCI) as in Pereira et al., (2013) <doi:10.1111/gean.12002>. The UCI measures the extent to which the spatial organization of a city or region varies from extreme polycentric to extreme monocentric in a continuous scale from 0 to 1. Values closer to 0 indicate more polycentric patterns and values closer to 1 indicate a more monocentric urban form.

Maintained by Rafael H. M. Pereira. Last updated 1 months ago.

urban-data-scienceurban-formurban-morphometrics

30.8 match 6 stars 4.82 score 11 scripts

economic

realtalk:Price index data for the US economy

Makes it easy to use US price index data like the CPI.

Maintained by Ben Zipperer. Last updated 7 days ago.

cpidatainflationprices

36.4 match 5 stars 3.51 score 10 scripts

katilingban

washdata:Urban Water and Sanitation Survey Dataset

Urban water and sanitation survey dataset collected by Water and Sanitation for the Urban Poor (WSUP) with technical support from Valid International. These citywide surveys have been collecting data allowing water and sanitation service levels across the entire city to be characterised, while also allowing more detailed data to be collected in areas of the city of particular interest. These surveys are intended to generate useful information for others working in the water and sanitation sector. Current release version includes datasets collected from a survey conducted in Dhaka, Bangladesh in March 2017. This survey in Dhaka is one of a series of surveys to be conducted by WSUP in various cities in which they operate including Accra, Ghana; Nakuru, Kenya; Antananarivo, Madagascar; Maputo, Mozambique; and, Lusaka, Zambia. This package will be updated once the surveys in other cities are completed and datasets have been made available.

Maintained by Ernest Guevarra. Last updated 11 months ago.

datasetsanitationurbanwashwater

21.7 match 4 stars 4.60 score

humaniverse

geographr:R package for mapping UK geographies

A package to distribute and compute on UK geographical data.

Maintained by Mike Page. Last updated 14 days ago.

13.4 match 38 stars 6.67 score 408 scripts

icra

ediblecity:Modeling Urban Agriculture at City Scale

The purpose of this package is to estimate the potential of urban agriculture to contribute to addressing several urban challenges at the city-scale. Within this aim, we selected 8 indicators directly related to one or several urban challenges. Also, a function is provided to compute new scenarios of urban agriculture. Methods are described by Pueyo-Ros, Comas & Corominas (2023) <doi:10.12688/openreseurope.16054.1>.

Maintained by Josep Pueyo-Ros. Last updated 1 years ago.

18.6 match 3.70 score 10 scripts

urbaninstitute

educationdata:Retrieve Records from the Urban Institute's Education Data Portal API

Allows R users to retrieve and parse data from the Urban Institute's Education Data API <https://educationdata.urban.org/> into a 'data.frame' for analysis.

Maintained by Erika Tyagi. Last updated 6 months ago.

8.5 match 86 stars 7.30 score 58 scripts

nowosad

spData:Datasets for Spatial Analysis

Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON and GeoPackage, but from version 2.3.4, no longer ESRI Shapefile - use GeoPackage instead. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.

Maintained by Jakub Nowosad. Last updated 2 months ago.

datasetsrastersfspspatialspdep

3.8 match 82 stars 13.23 score 3.4k scripts 116 dependents

pakillo

CityShadeMapper:Generate High Resolution Shade Maps and Shaded Routes from Remote Sensing Data

CityShadeMapper can generate high resolution shade maps (e.g. for every square meter and every hour of the year) for any city or town from open remote sensing (LiDAR) data. CityShadeMapper can also return optimal routes within any two points in the city that maximise the amount of shade for pedestrians.

Maintained by Francisco Rodrรญguez-Sรกnchez. Last updated 12 months ago.

gislidarurban-data-scienceurban-planning

14.2 match 25 stars 3.10 score 3 scripts

cran

SpatEntropy:Spatial Entropy Measures

The heterogeneity of spatial data presenting a finite number of categories can be measured via computation of spatial entropy. Functions are available for the computation of the main entropy and spatial entropy measures in the literature. They include the traditional version of Shannon's entropy (Shannon, 1948 <doi:10.1002/j.1538-7305.1948.tb01338.x>), Batty's spatial entropy (Batty, 1974 <doi:10.1111/j.1538-4632.1974.tb01014.x>), O'Neill's entropy (O'Neill et al., 1998 <doi:10.1007/BF00162741>), Li and Reynolds' contagion index (Li and Reynolds, 1993 <doi:10.1007/BF00125347>), Karlstrom and Ceccato's entropy (Karlstrom and Ceccato, 2002 <https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-61351>), Leibovici's entropy (Leibovici, 2009 <doi:10.1007/978-3-642-03832-7_24>), Parresol and Edwards' entropy (Parresol and Edwards, 2014 <doi:10.3390/e16041842>) and Altieri's entropy (Altieri et al., 2018, <doi:10.1007/s10651-017-0383-1>). Full references for all measures can be found under the topic 'SpatEntropy'. The package is able to work with lattice and point data. The updated version works with the updated 'spatstat' package (>= 3.0-2).

Maintained by Altieri Linda. Last updated 1 years ago.

22.2 match 3 stars 1.95 score 1 dependents

bioc

covRNA:Multivariate Analysis of Transcriptomic Data

This package provides the analysis methods fourthcorner and RLQ analysis for large-scale transcriptomic data.

Maintained by Lara Urban. Last updated 5 months ago.

geneexpressiontranscription

10.3 match 4.00 score 1 scripts

julianurban

MAGMA.R:MAny-Group MAtching

Balancing quasi-experimental field research for effects of covariates is fundamental for drawing causal inference. Propensity Score Matching deals with this issue but current techniques are restricted to binary treatment variables. Moreover, they provide several solutions without providing a comprehensive framework on choosing the best model. The MAGMA R-package addresses these restrictions by offering nearest neighbor matching for two to four groups. It also includes the option to match data of a 2x2 design. In addition, MAGMA includes a framework for evaluating the post-matching balance. The package includes functions for the matching process and matching reporting. We provide a tutorial on MAGMA as vignette. More information on MAGMA can be found in Feuchter, M. D., Urban, J., Scherrer V., Breit, M. L., and Preckel F. (2022) <https://osf.io/p47nc/>.

Maintained by Julian Urban. Last updated 15 days ago.

9.6 match 3.85 score 3 scripts

inseefr

btb:Beyond the Border - Kernel Density Estimation for Urban Geography

The kernelSmoothing() function allows you to square and smooth geolocated data. It calculates a classical kernel smoothing (conservative) or a geographically weighted median. There are four major call modes of the function. The first call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth) for a classical kernel smoothing and automatic grid. The second call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth, quantiles) for a geographically weighted median and automatic grid. The third call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth, centroids) for a classical kernel smoothing and user grid. The fourth call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth, quantiles, centroids) for a geographically weighted median and user grid. Geographically weighted summary statistics : a framework for localised exploratory data analysis, C.Brunsdon & al., in Computers, Environment and Urban Systems C.Brunsdon & al. (2002) <doi:10.1016/S0198-9715(01)00009-6>, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition, Diggle, pp. 83-86, (2003) <doi:10.1080/13658816.2014.937718>.

Maintained by Solรจne Colin. Last updated 2 days ago.

statistical-packagecpp

5.1 match 15 stars 6.50 score 15 scripts

zonebuilders

zonebuilder:Create and Explore Geographic Zoning Systems

Functions, documentation and example data to help divide geographic space into discrete polygons (zones). The package supports new zoning systems that are documented in the accompanying paper, "ClockBoard: A zoning system for urban analysis", by Lovelace et al. (2022) <doi:10.5311/JOSIS.2022.24.172>. The functions are motivated by research into the merits of different zoning systems (Openshaw, 1977) <doi:10.1068/a090169>. A flexible ClockBoard zoning system is provided, which breaks-up space by concentric rings and radial lines emanating from a central point. By default, the diameter of the rings grow according to the triangular number sequence (Ross & Knott, 2019) <doi:10.1080/26375451.2019.1598687> with the first 4 doughnuts (or annuli) measuring 1, 3, 6, and 10 km wide. These annuli are subdivided into equal segments (12 by default), creating the visual impression of a dartboard. Zones are labelled according to distance to the centre and angular distance from North, creating a simple geographic zoning and labelling system useful for visualising geographic phenomena with a clearly demarcated central location such as cities.

Maintained by Robin Lovelace. Last updated 1 months ago.

4.7 match 39 stars 6.94 score 25 scripts

ouhscbbmc

Wats:Wrap Around Time Series Graphics

Wrap-around Time Series (WATS) plots for interrupted time series designs with seasonal patterns. Longitudinal trajectories are shown in both Cartesian and polar coordinates. In many scenarios, a WATS plot more clearly shows the existence and effect size of of an intervention. This package accompanies "Graphical Data Analysis on the Circle: Wrap-Around Time Series Plots for (Interrupted) Time Series Designs" by Rodgers, Beasley, & Schuelke (2014) <doi:10.1080/00273171.2014.946589>; see 'citation("Wats")' for details.

Maintained by Will Beasley. Last updated 23 days ago.

graphical-analysisoklahoma-city-bombingpublicationseasonaltime-series

5.0 match 7 stars 6.14 score 44 scripts

alanarnholt

BSDA:Basic Statistics and Data Analysis

Data sets for book "Basic Statistics and Data Analysis" by Larry J. Kitchens.

Maintained by Alan T. Arnholt. Last updated 2 years ago.

3.3 match 7 stars 9.11 score 1.3k scripts 6 dependents

ropensci

CoordinateCleaner:Automated Cleaning of Occurrence Records from Biological Collections

Automated flagging of common spatial and temporal errors in biological and paleontological collection data, for the use in conservation, ecology and paleontology. Includes automated tests to easily flag (and exclude) records assigned to country or province centroid, the open ocean, the headquarters of the Global Biodiversity Information Facility, urban areas or the location of biodiversity institutions (museums, zoos, botanical gardens, universities). Furthermore identifies per species outlier coordinates, zero coordinates, identical latitude/longitude and invalid coordinates. Also implements an algorithm to identify data sets with a significant proportion of rounded coordinates. Especially suited for large data sets. The reference for the methodology is: Zizka et al. (2019) <doi:10.1111/2041-210X.13152>.

Maintained by Alexander Zizka. Last updated 1 years ago.

2.3 match 82 stars 10.93 score 306 scripts 3 dependents

kenaho1

asbio:A Collection of Statistical Tools for Biologists

Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R. CRC/Taylor and Francis, Boca Raton, FL, ISBN: 978-1-4398-7338-0.

Maintained by Ken Aho. Last updated 2 months ago.

3.4 match 5 stars 7.32 score 310 scripts 3 dependents

staffanbetner

rethinking:Statistical Rethinking book package

Utilities for fitting and comparing models

Maintained by Richard McElreath. Last updated 4 months ago.

4.5 match 5.42 score 4.4k scripts

petrbouchal

pragr:Tools for visualising Prague data

A bridge between Prague geodata and R to enable visualisation. Currently, it provides access to raster map layers provided by the Prague geoportal and several utilities.

Maintained by Petr Bouchal. Last updated 2 years ago.

czech-republicgismapsopen-datapragueprague-geodata

6.8 match 4 stars 3.60 score 9 scripts

walkerke

tigris:Load Census TIGER/Line Shapefiles

Download TIGER/Line shapefiles from the United States Census Bureau (<https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html>) and load into R as 'sf' objects.

Maintained by Kyle Walker. Last updated 5 months ago.

1.8 match 331 stars 12.87 score 5.3k scripts 16 dependents

mablab

sftrack:Modern Classes for Tracking and Movement Data

Modern classes for tracking and movement data, building on 'sf' spatial infrastructure, and early theoretical work from Turchin (1998, ISBN: 9780878938476), and Calenge et al. (2009) <doi:10.1016/j.ecoinf.2008.10.002>. Tracking data are series of locations with at least 2-dimensional spatial coordinates (x,y), a time index (t), and individual identification (id) of the object being monitored; movement data are made of trajectories, i.e. the line representation of the path, composed by steps (the straight-line segments connecting successive locations). 'sftrack' is designed to handle movement of both living organisms and inanimate objects.

Maintained by Mathieu Basille. Last updated 2 years ago.

movementtracking-datatrajectory

3.5 match 53 stars 6.42 score 5 scripts

phiala

ecodist:Dissimilarity-Based Functions for Ecological Analysis

Dissimilarity-based analysis functions including ordination and Mantel test functions, intended for use with spatial and community ecological data. The original package description is in Goslee and Urban (2007) <doi:10.18637/jss.v022.i07>, with further statistical detail in Goslee (2010) <doi:10.1007/s11258-009-9641-0>.

Maintained by Sarah Goslee. Last updated 1 years ago.

openblas

2.2 match 9 stars 9.84 score 566 scripts 9 dependents

r-forge

Sleuth2:Data Sets from Ramsey and Schafer's "Statistical Sleuth (2nd Ed)"

Data sets from Ramsey, F.L. and Schafer, D.W. (2002), "The Statistical Sleuth: A Course in Methods of Data Analysis (2nd ed)", Duxbury.

Maintained by Berwin A Turlach. Last updated 1 years ago.

3.8 match 5.70 score 191 scripts

urban-sustainability-lab-zurich

diskurs:An R Package To Handle Discourse Network Data

An R package to handle discourse network data as a bipartite graph of actor nodes, qualified stance edges and statement (belief) nodes.

Maintained by Mario Angst. Last updated 6 months ago.

12.5 match 1.70 score 2 scripts

rafapereirabr

geobr:Download Official Spatial Data Sets of Brazil

Easy access to official spatial data sets of Brazil as 'sf' objects in R. The package includes a wide range of geospatial data available at various geographic scales and for various years with harmonized attributes, projection and fixed topology.

Maintained by Rafael H. M. Pereira. Last updated 6 months ago.

3.5 match 5.89 score 1.4k scripts 1 dependents

middleton-lab

abd:The Analysis of Biological Data

The abd package contains data sets and sample code for The Analysis of Biological Data by Michael Whitlock and Dolph Schluter (2009; Roberts & Company Publishers).

Maintained by Kevin M. Middleton. Last updated 11 months ago.

3.8 match 6 stars 5.53 score 182 scripts 1 dependents

ropengov

giscoR:Download Map Data from GISCO API - Eurostat

Tools to download data from the GISCO (Geographic Information System of the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global and European map data available. This package is in no way officially related to or endorsed by Eurostat.

Maintained by Diego Hernangรณmez. Last updated 22 hours ago.

ropengovspatialapi-wrappereurostatgiscothematic-mapseurostat-dataggplot2gis

1.7 match 75 stars 10.70 score 424 scripts 5 dependents

urbananalyst

uaengine:Routing and aggregation engine for 'Urban Analyst'

Routing and aggregation engine for 'Urban Transport Analyst'.

Maintained by Mark Padgham. Last updated 1 months ago.

cpp

3.6 match 7 stars 4.39 score

rafapereirabr

aopdata:Data from the 'Access to Opportunities Project (AOP)'

Download data from the 'Access to Opportunities Project (AOP)'. The 'aopdata' package brings annual estimates of access to employment, health, education and social assistance services by transport mode, as well as data on the spatial distribution of population, jobs, health care, schools and social assistance facilities at a fine spatial resolution for all cities included in the project. More info on the 'AOP' website <https://www.ipea.gov.br/acessooportunidades/en/>.

Maintained by Rafael H. M. Pereira. Last updated 2 months ago.

3.3 match 4.70 score 72 scripts

atmoschem

vein:Vehicular Emissions Inventories

Elaboration of vehicular emissions inventories, consisting in four stages, pre-processing activity data, preparing emissions factors, estimating the emissions and post-processing of emissions in maps and databases. More details in Ibarra-Espinosa et al (2018) <doi:10.5194/gmd-11-2209-2018>. Before using VEIN you need to know the vehicular composition of your study area, in other words, the combination of of type of vehicles, size and fuel of the fleet. Then, it is recommended to start with the project to download a template to create a structure of directories and scripts.

Maintained by Sergio Ibarra-Espinosa. Last updated 3 days ago.

atmoschematmospheric-chemistryatmospheric-scienceatmospheric-sciencesemissionsemissions-modelvehicular-emissions-inventoriesveinfortranopenmp

1.8 match 46 stars 8.69 score 137 scripts

agqhammond

UKFE:UK Flood Estimation

Functions to implement the methods of the Flood Estimation Handbook (FEH), associated updates and the revitalised flood hydrograph model (ReFH). Currently the package uses NRFA peak flow dataset version 13. Aside from FEH functionality, further hydrological functions are available. Most of the methods implemented in this package are described in one or more of the following: "Flood Estimation Handbook", Centre for Ecology & Hydrology (1999, ISBN:0 948540 94 X). "Flood Estimation Handbook Supplementary Report No. 1", Kjeldsen (2007, ISBN:0 903741 15 7). "Regional Frequency Analysis - an approach based on L-moments", Hosking & Wallis (1997, ISBN: 978 0 521 01940 8). "Proposal of the extreme rank plot for extreme value analysis: with an emphasis on flood frequency studies", Hammond (2019, <doi:10.2166/nh.2019.157>). "Making better use of local data in flood frequency estimation", Environment Agency (2017, ISBN: 978 1 84911 387 8). "Sampling uncertainty of UK design flood estimation" , Hammond (2021, <doi:10.2166/nh.2021.059>). "Improving the FEH statistical procedures for flood frequency estimation", Environment Agency (2008, ISBN: 978 1 84432 920 5). "Low flow estimation in the United Kingdom", Institute of Hydrology (1992, ISBN 0 948540 45 1). Wallingford HydroSolutions, (2016, <http://software.hydrosolutions.co.uk/winfap4/Urban-Adjustment-Procedure-Technical-Note.pdf>). 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>).

Maintained by Anthony Hammond. Last updated 1 months ago.

8.8 match 1 stars 1.78 score

mdlincoln

europop:Historical Populations of European Cities, 1500-1800

This dataset contains population estimates of all European cities with at least 10,000 inhabitants during the period 1500-1800. These data are adapted from Jan De Vries, "European Urbanization, 1500-1800" (1984).

Maintained by Matthew Lincoln. Last updated 8 years ago.

datahistorypopulation

4.1 match 9 stars 3.69 score 11 scripts

elipousson

streetmixr:Access the Streetmix API

Support access to the Streetmix API and share data on Streetmix illustrations and components for analysis or reuse (consistent with license requirements).

Maintained by Eli Pousson. Last updated 4 months ago.

civic-techstreetmixurban-planning

7.5 match 2 stars 2.00 score 3 scripts

paezha

discrtr:A Companion Package for the Book "Discrete Choice Analysis with 'R'"

Templates and data files to support "Discrete Choice Analysis with R", Pรกez, A. and Boisjoly, G. (2023) <doi:10.1007/978-3-031-20719-8>.

Maintained by Antonio Paez. Last updated 2 years ago.

discrete-choicediscrete-choice-data

3.6 match 3 stars 3.87 score 49 scripts

bking124

countSTAR:Flexible Modeling of Count Data

For Bayesian and classical inference and prediction with count-valued data, Simultaneous Transformation and Rounding (STAR) Models provide a flexible, interpretable, and easy-to-use approach. STAR models the observed count data using a rounded continuous data model and incorporates a transformation for greater flexibility. Implicitly, STAR formalizes the commonly-applied yet incoherent procedure of (i) transforming count-valued data and subsequently (ii) modeling the transformed data using Gaussian models. STAR is well-defined for count-valued data, which is reflected in predictive accuracy, and is designed to account for zero-inflation, bounded or censored data, and over- or underdispersion. Importantly, STAR is easy to combine with existing MCMC or point estimation methods for continuous data, which allows seamless adaptation of continuous data models (such as linear regressions, additive models, BART, random forests, and gradient boosting machines) for count-valued data. The package also includes several methods for modeling count time series data, namely via warped Dynamic Linear Models. For more details and background on these methodologies, see the works of Kowal and Canale (2020) <doi:10.1214/20-EJS1707>, Kowal and Wu (2022) <doi:10.1111/biom.13617>, King and Kowal (2023) <doi:10.1214/23-BA1394>, and Kowal and Wu (2023) <arXiv:2110.12316>.

Maintained by Brian King. Last updated 2 years ago.

cpp

3.3 match 2 stars 4.00 score 3 scripts

elipousson

birdseyeview:Make Planning Maps, Tables, and Visualizations

This package helps create maps, tables, and figures for planning documents using open spatial data. birdseyeview is designed to work with the sfext and maplayer packages and relies on sf, ggplot2, and gt.

Maintained by Eli Pousson. Last updated 2 years ago.

rspatialurban-planning

7.5 match 1.70 score 2 scripts

billbillbilly

streetscape:Collect And Investigate Street Views For Urban Science

A collection of functions to search and download street view imagery ('Mapilary' <https://www.mapillary.com/developer/api-documentation>) and to extract, quantify, and visualize visual features. Moreover, there are functions provided to generate Qualtrics survey in TXT format using the collection of street views for various research purposes.

Maintained by Xiaohao Yang. Last updated 7 months ago.

2.9 match 4.30 score 1 scripts

keberwein

blscrapeR:An API Wrapper for the United States Bureau of Labor Statistics

Scrapes various data from <https://www.bls.gov/>. The Bureau of Labor Statistics is the statistical branch of the United States Department of Labor. The package has additional functions to help parse, analyze and visualize the data.

Maintained by Kris Eberwein. Last updated 1 years ago.

apiapi-wrapperblsbureau-of-labor-statisticsconsumer-price-indexcpiinflationinflation-calculatorlabor-statisticsunemployment

1.6 match 112 stars 7.66 score 270 scripts

antaldaniel

statcodelists:Use Standardized Statistical Codelists

The goal of statcodelists is to promote the reuse and exchange of statistical information and related metadata with making the internationally standardized SDMX code lists available for the R user. SDMX has been published as an ISO International Standard (ISO 17369). The metadata definitions, including the codelists are updated regularly according to the standard. The authoritative version of the code lists made available in this package is <https://sdmx.org/?page_id=3215/>.

Maintained by Daniel Antal. Last updated 2 years ago.

4.0 match 1 stars 2.70 score 4 scripts

truenomad

AgePopDenom:Model Fine-Scale Age-Structured Population Data using Open-Source Data

Automate the modelling of age-structured population data using survey data, grid population estimates and urban-rural extents.

Maintained by Mohamed A. Yusuf. Last updated 22 days ago.

2.3 match 1 stars 4.60 score 3 scripts

urbaninstitute

urbnmapr:State and county shapefiles in sf and tibble format

Provides state and county shapefiles in 'sf' and 'tibble' format that is compatible to map with 'ggplot2'. Shapefiles include Alaska and Hawaii, transformed to be displayed as insets within the continental United States. Heavily inspired by and derived in part from the fiftystater package <https://cran.r-project.org/package=fiftystater> by William Murphy.

Maintained by Sarah Strochak. Last updated 6 years ago.

1.5 match 145 stars 6.94 score 596 scripts

atmoschem

eixport:Export Emissions to Atmospheric Models

Emissions are the mass of pollutants released into the atmosphere. Air quality models need emissions data, with spatial and temporal distribution, to represent air pollutant concentrations. This package, eixport, creates inputs for the air quality models 'WRF-Chem' Grell et al (2005) <doi:10.1016/j.atmosenv.2005.04.027>, 'MUNICH' Kim et al (2018) <doi:10.5194/gmd-11-611-2018> , 'BRAMS-SPM' Freitas et al (2005) <doi:10.1016/j.atmosenv.2005.07.017> and 'RLINE' Snyder et al (2013) <doi:10.1016/j.atmosenv.2013.05.074>. See the 'eixport' website (<https://atmoschem.github.io/eixport/>) for more information, documentations and examples. More details in Ibarra-Espinosa et al (2018) <doi:10.21105/joss.00607>.

Maintained by Sergio Ibarra-Espinosa. Last updated 28 days ago.

atmospheric-modelsatmospheric-scienceemissionsexporting-emissionswrf

1.7 match 28 stars 6.31 score 97 scripts

richardli

surveyPrev:Mapping the Prevalence of Binary Indicators using Survey Data in Small Areas

Provides a pipeline to perform small area estimation and prevalence mapping of binary indicators using health and demographic survey data, described in Fuglstad et al. (2022) <doi:10.48550/arXiv.2110.09576> and Wakefield et al. (2020) <doi:10.1111/insr.12400>.

Maintained by Qianyu Dong. Last updated 2 hours ago.

1.6 match 1 stars 5.76 score 11 scripts

pik-piam

mrdrivers:Create GDP and Population Scenarios

Create GDP and population scenarios This package constructs the GDP and population scenarios used as drivers in both the REMIND and MAgPIE models.

Maintained by Johannes Koch. Last updated 1 days ago.

1.3 match 6.41 score 5 scripts 19 dependents

kwb-r

urbanAnnualRunoff:R Package for Deriving Urban Surfaces for Storm Runoff Analysis

Used in Project KEYS for generating inputs to runoff model ABIMO for application in cities with data scarcity.

Maintained by Michael Rustler. Last updated 3 years ago.

abimoproject-keys

2.8 match 3.00 score 2 scripts

gardiners

ozgs:Use the Australian Statistical Geography Standard in R

Access maps, layers and data provided by the Australian Statistical Geography Standard (ASGS) via the ABS web service. Available spatial objects include Indigenous Structures, Statistical Areas (SA1, SA2, SA3 and SA4), states and territories, postcode approximations (POAs), suburbs and localities, local government areas (LGAs), state and federal electorates, remoteness areas and the mesh blocks from which each of these are constructed. Requests are cached to avoid repeatedly fetching large quantities of data from the ABS web servers.

Maintained by Sam Gardiner. Last updated 12 months ago.

3.8 match 2.00 score

program--

fipio:Lightweight Federal Information Processing System (FIPS) Code Information Retrieval

Provides a lightweight suite of functions for retrieving information about 5-digit or 2-digit US FIPS codes.

Maintained by Justin Singh-Mohudpur. Last updated 1 years ago.

information-retrievalspatialus-data

1.6 match 14 stars 4.77 score 14 scripts 2 dependents

cran

OasisR:Outright Tool for the Analysis of Spatial Inequalities and Segregation

A comprehensive set of indexes and tests for social segregation analysis, as described in Tivadar (2019) - 'OasisR': An R Package to Bring Some Order to the World of Segregation Measurement <doi:10.18637/jss.v089.i07>. The package is the most complete existing tool and it clarifies many ambiguities and errors regarding the definition of segregation indices. Additionally, 'OasisR' introduces several resampling methods that enable testing their statistical significance (randomization tests, bootstrapping, and jackknife methods).

Maintained by Mihai Tivadar. Last updated 4 months ago.

3.4 match 2 stars 1.78 score 1 dependents

cran

IGC.CSM:Simulate Impact of Different Urban Policies Through a General Equilibrium Model

Develops a General Equilibrium (GE) Model, which estimates key variables such as wages, the number of residents and workers, the prices of the floor space, and its distribution between commercial and residential use, as in Ahlfeldt et al., (2015) <doi:10.3982/ECTA10876>. By doing so, the model allows understanding the economic influence of different urban policies.

Maintained by Roman Zarate. Last updated 6 months ago.

3.3 match 1.70 score

davidzarruk

IGCities:Simulate Impact of Different Urban Policies Through a General Equilibrium Model

Develops a General Equilibrium (GE) Model, which estimates key variables such as wages, the number of residents and workers, the prices of the floor space, and its distribution between commercial and residential use, as in Ahlfeldt et al., (2015) <https://onlinelibrary.wiley.com/doi/abs/10.3982/ECTA10876>. By doing so, the model allows understanding the economic influence of different urban policies.

Maintained by David Zarruk. Last updated 2 years ago.

3.3 match 1 stars 1.70 score

txwri

SELECTRdata:Download and Format Spatially Explicit Load Enrichment Calculation Tool ('SELECT') Data

Provides convienence functions for downloading raster and tabular data used by Spatially Explicit Load Enrichment Calculation Tool ('SELECT') to characterize landscape based pollutant sources (<https://tx.select.tamu.edu>). Methodology based on Teague et al. (2009) <doi:10.13031/2013.27788>.

Maintained by Michael Schramm. Last updated 14 days ago.

1.8 match 2.40 score

itsleeds

od:Manipulate and Map Origin-Destination Data

The aim of 'od' is to provide tools and example datasets for working with origin-destination ('OD') datasets of the type used to describe aggregate urban mobility patterns (Carey et al. 1981) <doi:10.1287/trsc.15.1.32>. The package builds on functions for working with 'OD' data in the package 'stplanr', (Lovelace and Ellison 2018) <doi:10.32614/RJ-2018-053> with a focus on computational efficiency and support for the 'sf' class system (Pebesma 2018) <doi:10.32614/RJ-2018-009>. With few dependencies and a simple class system based on data frames, the package is intended to facilitate efficient analysis of 'OD' datasets and to provide a place for developing new functions. The package enables the creation and analysis of geographic entities representing large scale mobility patterns, from daily travel between zones in cities to migration between countries.

Maintained by Robin Lovelace. Last updated 5 months ago.

0.5 match 33 stars 8.50 score 96 scripts 6 dependents

ropengov

geofi:Access Finnish Geospatial Data

Designed to simplify geospatial data access from the Statistics Finland Web Feature Service API <https://geo.stat.fi/geoserver/index.html>, the geofi package offers researchers and analysts a set of tools to obtain and harmonize administrative spatial data for a wide range of applications, from urban planning to environmental research. The package contains annually updated time series of municipality key datasets that can be used for data aggregation and language translations.

Maintained by Markus Kainu. Last updated 1 months ago.

ropengovggplot2

0.5 match 20 stars 8.17 score 61 scripts

cran

QCApro:Advanced Functionality for Performing and Evaluating Qualitative Comparative Analysis

Provides advanced functionality for performing configurational comparative research with Qualitative Comparative Analysis (QCA), including crisp-set, multi-value, and fuzzy-set QCA. It also offers advanced tools for sensitivity diagnostics and methodological evaluations of QCA.

Maintained by Alrik Thiem. Last updated 7 years ago.

4.0 match 1 stars 1.00 score

cran

hudr:Providing Data from the US Department of Housing and Urban Development

Provides functions to access data from the US Department of Housing and Urban Development <https://www.huduser.gov/portal/dataset/fmr-api.html>.

Maintained by Paul Richardson. Last updated 3 years ago.

3.4 match 1.15 score 14 scripts

a-b-street

abstr:R Interface to the A/B Street Transport System Simulation Software

Provides functions to convert origin-destination data, represented as straight 'desire lines' in the 'sf' Simple Features class system, into JSON files that can be directly imported into A/B Street <https://www.abstreet.org>, a free and open source tool for simulating urban transport systems and scenarios of change <doi:10.1007/s10109-020-00342-2>.

Maintained by Nathanael Sheehan. Last updated 3 years ago.

0.5 match 34 stars 6.87 score 27 scripts

saikathd

EXPAR:Fitting of Exponential Autoregressive (EXPAR) Model

The amplitude-dependent exponential autoregressive (EXPAR) time series model, initially proposed by Haggan and Ozaki (1981) <doi:10.2307/2335819> has been implemented in this package. Throughout various studies, the model has been found to adequately capture the cyclical nature of datasets. Parameter estimation of such family of models has been tackled by the approach of minimizing the residual sum of squares (RSS). Model selection among various candidate orders has been implemented using various information criteria, viz., Akaike information criteria (AIC), corrected Akaike information criteria (AICc) and Bayesian information criteria (BIC). An illustration utilizing data of egg price indices has also been provided.

Maintained by Saikath Das. Last updated 10 months ago.

3.5 match 1.00 score

cran

IndexNumber:Index Numbers in Social Sciences

We provide an R tool for teaching in Social Sciences. It allows the computation of index numbers. It is a measure of the evolution of a fixed magnitude for only a product of for several products. It is very useful in Social Sciences. Among others, we obtain simple index numbers (in chain or in serie), index numbers for not only a product or weighted index numbers as the Laspeyres index (Laspeyres, 1864), the Paasche index (Paasche, 1874) or the Fisher index (Lapedes, 1978).

Maintained by Alejandro Saavedra-Nieves. Last updated 4 years ago.

3.4 match 1.00 score

hughparsonage

healthyAddress:Convert Addresses to Standard Inputs

Efficient tools for parsing and standardizing Australian addresses from textual data. It utilizes optimized algorithms to accurately identify and extract components of addresses, such as street names, types, and postcodes, especially for large batched data in contexts where sending addresses to internet services may be slow or inappropriate. The core functionality is built on fast string processing techniques to handle variations in address formats and abbreviations commonly found in Australian address data. Designed for data scientists, urban planners, and logistics analysts, the package facilitates the cleaning and normalization of address information, supporting better data integration and analysis in urban studies, geography, and related fields.

Maintained by Hugh Parsonage. Last updated 2 months ago.

openmp

0.8 match 6 stars 4.42 score 11 scripts

flowmapblue

flowmapblue:Flow Map Rendering

Create interactive flow maps using 'FlowmapBlue' 'TypeScript' library <https://github.com/FlowmapBlue/FlowmapBlue>, which is a free tool for representing aggregated numbers of movements between geographic locations as flow maps. It is used to visualize urban mobility, commuting behavior, bus, subway and air travels, bicycle sharing, human and bird migration, refugee flows, freight transportation, trade, supply chains, scientific collaboration, epidemiological and historical data and many other topics. The package allows to either create standalone flow maps in form of 'htmlwidgets' and save them in 'HTML' files, or integrate flow maps into 'Shiny' applications.

Maintained by Egor Kotov. Last updated 19 days ago.

datavismobilitymobility-datamovement-datarstudio

0.5 match 57 stars 6.70 score 22 scripts

imranshakoor

DDPM:Data Sets for Discrete Probability Models

A wide collection of univariate discrete data sets from various applied domains related to distribution theory. The functions allow quick, easy, and efficient access to 100 univariate discrete data sets. The data are related to different applied domains, including medical, reliability analysis, engineering, manufacturing, occupational safety, geological sciences, terrorism, psychology, agriculture, environmental sciences, road traffic accidents, demography, actuarial science, law, and justice. The documentation, along with associated references for further details and uses, is presented.

Maintained by Muhammad Imran. Last updated 2 years ago.

3.3 match 1.00 score

spatialnous

alcyon:Spatial Network Analysis

Interface package for 'sala', the spatial network analysis library from the 'depthmapX' software application. The R parts of the code are based on the 'rdepthmap' package. Allows for the analysis of urban and building-scale networks and provides metrics and methods usually found within the Space Syntax domain. Methods in this package are described by K. Al-Sayed, A. Turner, B. Hillier, S. Iida and A. Penn (2014) "Space Syntax methodology", and also by A. Turner (2004) <https://discovery.ucl.ac.uk/id/eprint/2651> "Depthmap 4: a researcher's handbook".

Maintained by Petros Koutsolampros. Last updated 2 months ago.

cppopenmp

0.5 match 2 stars 6.34 score 13 scripts

opencasestudies

OCSdata:Download Data from the 'Open Case Studies' Repository

Provides functions to access and download data from the 'Open Case Studies' <https://www.opencasestudies.org/> repositories on 'GitHub' <https://github.com/opencasestudies>. Different functions enable users to grab the data they need at different sections in the case study, as well as download the whole case study repository. All the user needs to do is input the name of the case study being worked on. The package relies on the httr::GET() function to access files through the 'GitHub' API. The functions usethis::use_zip() and usethis::create_from_github() are used to clone and/or download the case study repositories. See <https://github.com/opencasestudies/OCSdata/blob/master/README.md> for instructions and examples. To cite an individual case study, please see the 'README' file in the respective case study repository: <https://github.com/opencasestudies/ocs-bp-rural-and-urban-obesity> <https://github.com/opencasestudies/ocs-bp-air-pollution> <https://github.com/opencasestudies/ocs-bp-vaping-case-study> <https://github.com/opencasestudies/ocs-bp-opioid-rural-urban> <https://github.com/opencasestudies/ocs-bp-RTC-wrangling> <https://github.com/opencasestudies/ocs-bp-RTC-analysis> <https://github.com/opencasestudies/ocs-bp-youth-disconnection> <https://github.com/opencasestudies/ocs-bp-youth-mental-health> <https://github.com/opencasestudies/ocs-bp-school-shootings-dashboard> <https://github.com/opencasestudies/ocs-bp-co2-emissions> <https://github.com/opencasestudies/ocs-bp-diet>.

Maintained by Carrie Wright. Last updated 8 months ago.

data-sciencepublic-health

0.8 match 1 stars 4.20 score 32 scripts

hsvab

odbr:Download Data from Brazil's Origin Destination Surveys

Download data from Brazil's Origin Destination Surveys. The package covers both data from household travel surveys, dictionaries of variables, and the spatial geometries of surveys conducted in different years and across various urban areas in Brazil. For some cities, the package will include enhanced versions of the data sets with variables "harmonized" across different years.

Maintained by Haydee Svab. Last updated 1 months ago.

0.5 match 16 stars 5.85 score 11 scripts

ropensci

skynet:Generates Networks from BTS Data

A flexible tool that allows generating bespoke air transport statistics for urban studies based on publicly available data from the Bureau of Transport Statistics (BTS) in the United States <https://www.transtats.bts.gov/databases.asp?Z1qr_VQ=E&Z1qr_Qr5p=N8vn6v10&f7owrp6_VQF=D>.

Maintained by Filipe Teixeira. Last updated 6 months ago.

air-transportbtsbureau-of-transport-statisticsdb1bpeer-reviewedritaskynett100transtats

0.5 match 11 stars 4.67 score 43 scripts

urbananalyst

m4ra:Many-to-Many Multi-Modal Routing Aggregator

Many-to-many multi-modal routing aggregator, combining 'dodgr' and 'gtfsrouter' for complete routing through urban networks.

Maintained by Mark Padgham. Last updated 1 months ago.

gtfsopen-street-maprouting-enginecpp

0.5 match 15 stars 4.26 score 1 scripts 2 dependents

da-wi

cartographr:Crafting Print-Ready Maps and Layered Visualizations

Simplifying the creation of print-ready maps, this package offers a user-friendly interface derived from 'ggplot2' for handling OpenStreetMap data. It streamlines the map-making process, allowing users to focus on the story their maps tell. Transforming raw geospatial data into informative visualizations is made easy with simple features 'sf' geometries. Whether for urban planning, environmental studies, or impactful public presentations, this tool facilitates straightforward and effective map creation. Enhance the dissemination of spatial information with high-quality, narrative-driven visualizations!

Maintained by David Willinger. Last updated 9 months ago.

0.5 match 1 stars 4.48 score 2 scripts

kwb-r

r2q:Connectable Separate Sewer System to Small Surface Waters - An Immission Based Assessment

The R package is used to define a tolerable pollutant input into small surface waters via rainwater runoff. It assigns a maximal connectable urban area to the surface water. For planning areas, different scenarios regarding the connection of surfaces to the separate sewer system and runoff water treatment can be calculated.

Maintained by Malte Zamzow. Last updated 2 years ago.

project-r2q

0.5 match 4.00 score 2 scripts

fmestre1

lconnect:Simple Tools to Compute Landscape Connectivity Metrics

Provides functions to upload vectorial data and derive landscape connectivity metrics in habitat or matrix systems. Additionally, includes an approach to assess individual patch contribution to the overall landscape connectivity, enabling the prioritization of habitat patches. The computation of landscape connectivity and patch importance are very useful in Landscape Ecology research. The metrics available are: number of components, number of links, size of the largest component, mean size of components, class coincidence probability, landscape coincidence probability, characteristic path length, expected cluster size, area-weighted flux and integral index of connectivity. Pascual-Hortal, L., and Saura, S. (2006) <doi:10.1007/s10980-006-0013-z> Urban, D., and Keitt, T. (2001) <doi:10.2307/2679983> Laita, A., Kotiaho, J., Monkkonen, M. (2011) <doi:10.1007/s10980-011-9620-4>.

Maintained by Frederico Mestre. Last updated 1 years ago.

connectivityhabitat-connectivitylandscapemetricscpp

0.5 match 6 stars 3.78 score 3 scripts

pik-piam

brick:Building sector model with heterogeneous renovation and construction of the stock

This building stock model represents residential and commercial buildings at customisable regional and temporal resolution. The building stock is quantified in floor area and distinguished by building type (SFH/MFH) and location (rural/urban). In each building category, construction cohorts are tracked explicitly. This allows to characterise buildings specifically for each subset of buildings. The evolution of the building stock follows from the flows of constructed, renovated and demolished buildings and is optimised under cost minimisation with a benefit for heterogeneity in the choice of construction and renovation alternatives. This benefit captures heterogeneity in the preferences of the agents and the building structure.

Maintained by Robin Hasse. Last updated 11 hours ago.

0.5 match 3.73 score 1 dependents

cran

REAT:Regional Economic Analysis Toolbox

Collection of models and analysis methods used in regional and urban economics and (quantitative) economic geography, e.g. measures of inequality, regional disparities and convergence, regional specialization as well as accessibility and spatial interaction models.

Maintained by Thomas Wieland. Last updated 4 years ago.

0.5 match 3 stars 3.62 score 140 scripts

attarco

ARDECO:Annual Regional Database of the European Commission (ARDECO)

A set of functions to access the 'ARDECO' (Annual Regional Database of the European Commission) data directly from the official ARDECO public repository through the exploitation of the 'ARDECO' APIs. The APIs are completely transparent to the user and the provided functions provide a direct access to the 'ARDECO' data. The 'ARDECO' database is a collection of variables related to demography, employment, labour market, domestic product, capital formation. Each variable can be exposed in one or more units of measure as well as refers to total values plus additional dimensions like economic sectors, gender, age classes. Data can be also aggregated at country level according to the tercet classes as defined by EUROSTAT. The description of the 'ARDECO' database can be found at the following URL <https://urban.jrc.ec.europa.eu/ardeco>.

Maintained by Carmelo Attardo. Last updated 4 months ago.

0.5 match 2.30 score

cran

SpatGRID:Spatial Grid Generation from Longitude and Latitude List

The developed function is designed for the generation of spatial grids based on user-specified longitude and latitude coordinates. The function first validates the input longitude and latitude values, ensuring they fall within the appropriate geographic ranges. It then creates a polygon from the coordinates and determines the appropriate Universal Transverse Mercator zone based on the provided hemisphere and longitude values. Subsequently, transforming the input Shapefile to the Universal Transverse Mercator projection when necessary. Finally, a spatial grid is generated with the specified interval and saved as a Shapefile. For method details see, Brus,D.J.(2022).<DOI:10.1201/9781003258940>. The function takes into account crucial parameters such as the hemisphere (north or south), desired grid interval, and the output Shapefile path. The developed function is an efficient tool, simplifying the process of empty spatial grid generation for applications such as, geo-statistical analysis, digital soil mapping product generation, etc. Whether for environmental studies, urban planning, or any other geo-spatial analysis, this package caters to the diverse needs of users working with spatial data, enhancing the accessibility and ease of spatial data processing and visualization.

Maintained by Nobin Chandra Paul. Last updated 1 years ago.

0.5 match 2.00 score

kwb-r

kwb.rabimo:R Implementation of Water Balance Model Abimo

The code in this package has been transferred from the C++ code of ABIMO 3.3: Water Balance Model for Urban Areas (https://github.com/KWB-R/abimo/).

Maintained by Hauke Sonnenberg. Last updated 1 years ago.

0.5 match 1.70 score 1 scripts

cran

ddecompose:Detailed Distributional Decomposition

Implements the Oaxaca-Blinder decomposition method and generalizations of it that decompose differences in distributional statistics beyond the mean. The function ob_decompose() decomposes differences in the mean outcome between two groups into one part explained by different covariates (composition effect) and into another part due to differences in the way covariates are linked to the outcome variable (structure effect). The function further divides the two effects into the contribution of each covariate and allows for weighted doubly robust decompositions. For distributional statistics beyond the mean, the function performs the recentered influence function (RIF) decomposition proposed by Firpo, Fortin, and Lemieux (2018). The function dfl_decompose() divides differences in distributional statistics into an composition effect and a structure effect using inverse probability weighting as introduced by DiNardo, Fortin, and Lemieux (1996). The function also allows to sequentially decompose the composition effect into the contribution of single covariates. References: Firpo, Sergio, Nicole M. Fortin, and Thomas Lemieux. (2018) <doi:10.3390/econometrics6020028>. "Decomposing Wage Distributions Using Recentered Influence Function Regressions." Fortin, Nicole M., Thomas Lemieux, and Sergio Firpo. (2011) <doi:10.3386/w16045>. "Decomposition Methods in Economics." DiNardo, John, Nicole M. Fortin, and Thomas Lemieux. (1996) <doi:10.2307/2171954>. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach." Oaxaca, Ronald. (1973) <doi:10.2307/2525981>. "Male-Female Wage Differentials in Urban Labor Markets." Blinder, Alan S. (1973) <doi:10.2307/144855>. "Wage Discrimination: Reduced Form and Structural Estimates."

Maintained by Samuel Meier. Last updated 11 months ago.

0.5 match 1 stars 1.70 score

arturotorres

EmiStatR:Emissions and Statistics in R for Wastewater and Pollutants in Combined Sewer Systems

Provides a fast and parallelised calculator to estimate combined wastewater emissions. It supports the planning and design of urban drainage systems, without the requirement of extensive simulation tools. The 'EmiStatR' package implements modular R methods. This enables to add new functionalities through the R framework.

Maintained by J.A. Torres-Matallana. Last updated 3 years ago.

0.5 match 1 stars 1.34 score 22 scripts

cran

EnviroPRA2:Environmental Probabilistic Risk Assessment Tools

It contains functions for dose calculation for different routes, fitting data to probability distributions, random number generation (Monte Carlo simulation) and calculation of systemic and carcinogenic risks. For more information see the publication: Barrio-Parra et al. (2019) "Human-health probabilistic risk assessment: the role of exposure factors in an urban garden scenario" <doi:10.1016/j.landurbplan.2019.02.005>.

Maintained by Fernando Barrio-Parra. Last updated 1 years ago.

0.5 match 1.00 score

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