Showing 24 of total 24 results (show query)
e-sensing
sits:Satellite Image Time Series Analysis for Earth Observation Data Cubes
An end-to-end toolkit for land use and land cover classification using big Earth observation data, based on machine learning methods applied to satellite image data cubes, as described in Simoes et al (2021) <doi:10.3390/rs13132428>. Builds regular data cubes from collections in AWS, Microsoft Planetary Computer, Brazil Data Cube, Copernicus Data Space Environment (CDSE), Digital Earth Africa, Digital Earth Australia, NASA HLS using the Spatio-temporal Asset Catalog (STAC) protocol (<https://stacspec.org/>) and the 'gdalcubes' R package developed by Appel and Pebesma (2019) <doi:10.3390/data4030092>. Supports visualization methods for images and time series and smoothing filters for dealing with noisy time series. Includes functions for quality assessment of training samples using self-organized maps as presented by Santos et al (2021) <doi:10.1016/j.isprsjprs.2021.04.014>. Includes methods to reduce training samples imbalance proposed by Chawla et al (2002) <doi:10.1613/jair.953>. Provides machine learning methods including support vector machines, random forests, extreme gradient boosting, multi-layer perceptrons, temporal convolutional neural networks proposed by Pelletier et al (2019) <doi:10.3390/rs11050523>, and temporal attention encoders by Garnot and Landrieu (2020) <doi:10.48550/arXiv.2007.00586>. Supports GPU processing of deep learning models using torch <https://torch.mlverse.org/>. Performs efficient classification of big Earth observation data cubes and includes functions for post-classification smoothing based on Bayesian inference as described by Camara et al (2024) <doi:10.3390/rs16234572>, and methods for active learning and uncertainty assessment. Supports region-based time series analysis using package supercells <https://jakubnowosad.com/supercells/>. Enables best practices for estimating area and assessing accuracy of land change as recommended by Olofsson et al (2014) <doi:10.1016/j.rse.2014.02.015>. Minimum recommended requirements: 16 GB RAM and 4 CPU dual-core.
Maintained by Gilberto Camara. Last updated 2 months ago.
big-earth-datacbersearth-observationeo-datacubesgeospatialimage-time-seriesland-cover-classificationlandsatplanetary-computerr-spatialremote-sensingrspatialsatellite-image-time-seriessatellite-imagerysentinel-2stac-apistac-catalogcpp
494 stars 9.50 score 384 scripts
ropensci
rsat:Dealing with Multiplatform Satellite Images
Downloading, customizing, and processing time series of satellite images for a region of interest. 'rsat' functions allow a unified access to multispectral images from Landsat, MODIS and Sentinel repositories. 'rsat' also offers capabilities for customizing satellite images, such as tile mosaicking, image cropping and new variables computation. Finally, 'rsat' covers the processing, including cloud masking, compositing and gap-filling/smoothing time series of images (Militino et al., 2018 <doi:10.3390/rs10030398> and Militino et al., 2019 <doi:10.1109/TGRS.2019.2904193>).
Maintained by Unai Pรฉrez - Goya. Last updated 12 months ago.
54 stars 7.45 score 52 scripts
cldossantos
pacu:Precision Agriculture Computational Utilities
Support for a variety of commonly used precision agriculture operations. Includes functions to download and process raw satellite images from Sentinel-2 <https://documentation.dataspace.copernicus.eu/APIs/OData.html>. Includes functions that download vegetation index statistics for a given period of time, without the need to download the raw images <https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/Statistical.html>. There are also functions to download and visualize weather data in a historical context. Lastly, the package also contains functions to process yield monitor data. These functions can build polygons around recorded data points, evaluate the overlap between polygons, clean yield data, and smooth yield maps.
Maintained by dos Santos Caio. Last updated 7 days ago.
13 stars 6.83 score 9 scripts
jeremygelb
geocmeans:Implementing Methods for Spatial Fuzzy Unsupervised Classification
Provides functions to apply spatial fuzzy unsupervised classification, visualize and interpret results. This method is well suited when the user wants to analyze data with a fuzzy clustering algorithm and to account for the spatial dimension of the dataset. In addition, indexes for estimating the spatial consistency and classification quality are proposed. The methods were originally proposed in the field of brain imagery (seed Cai and al. 2007 <doi:10.1016/j.patcog.2006.07.011> and Zaho and al. 2013 <doi:10.1016/j.dsp.2012.09.016>) and recently applied in geography (see Gelb and Apparicio <doi:10.4000/cybergeo.36414>).
Maintained by Jeremy Gelb. Last updated 5 months ago.
clusteringcmeansfuzzy-classification-algorithmsspatial-analysisspatial-fuzzy-cmeansunsupervised-learningcppopenmp
28 stars 6.10 score 90 scripts
statisticspoland
bdl:Interface and Tools for 'BDL' API
Interface to Local Data Bank ('Bank Danych Lokalnych' - 'bdl') API <https://api.stat.gov.pl/Home/BdlApi?lang=en> with set of useful tools like quick plotting and map generating using data from bank.
Maintained by Krzysztof Kania. Last updated 2 years ago.
20 stars 5.74 score 11 scripts
glottospace
glottospace:Language Mapping and Geospatial Analysis of Linguistic and Cultural Data
Streamlined workflows for geolinguistic analysis, including: accessing global linguistic and cultural databases, data import, data entry, data cleaning, data exploration, mapping, visualization and export.
Maintained by Rui Dong. Last updated 4 months ago.
23 stars 5.54 score 6 scripts
difm-brain
ofpetrial:Design on-Farm Precision Field Agronomic Trials
A comprehensive system for designing and implementing on-farm precision field agronomic trials. You provide field data, tell 'ofpetrial' how to design a trial, and get readily-usable trial design files and a report checks the validity and reliability of the trial design.
Maintained by Taro Mieno. Last updated 4 months ago.
3 stars 5.49 score 23 scripts
cadam00
priorCON:Graph Community Detection Methods into Systematic Conservation Planning
An innovative tool-set that incorporates graph community detection methods into systematic conservation planning. It is designed to enhance spatial prioritization by focusing on the protection of areas with high ecological connectivity. Unlike traditional approaches that prioritize individual planning units, 'priorCON' focuses on clusters of features that exhibit strong ecological linkages. The 'priorCON' package is built upon the 'prioritizr' package <doi:10.32614/CRAN.package.prioritizr>, using commercial and open-source exact algorithm solvers that ensure optimal solutions to prioritization problems.
Maintained by Christos Adam. Last updated 2 months ago.
biodiversitycommunity-detectionconservationconservation-planninggraph-theoryprioritization
3 stars 5.37 score 13 scripts
mazamascience
MazamaSpatialPlots:Thematic Plots for Mazama Spatial Datasets
A suite of convenience functions for generating US state and county thematic maps using datasets from the MazamaSpatialUtils package.
Maintained by Jonathan Callahan. Last updated 2 months ago.
4.84 score 23 scripts
mharinga
spatialrisk:Calculating Spatial Risk
Methods for spatial risk calculations. It offers an efficient approach to determine the sum of all observations within a circle of a certain radius. This might be beneficial for insurers who are required (by a recent European Commission regulation) to determine the maximum value of insured fire risk policies of all buildings that are partly or fully located within a circle of a radius of 200m. See Church (1974) <doi:10.1007/BF01942293> for a description of the problem.
Maintained by Martin Haringa. Last updated 7 months ago.
actuarial-scienceinsurancesolvency-iispatialcpp
19 stars 4.76 score 30 scripts
r-tmap
tmap.cartogram:Extension to 'tmap' for Creating Cartograms
Provides new layer functions to 'tmap' for creating various types of cartograms. A cartogram is a type of thematic map in which geographic areas are resized or distorted based on a quantitative variable, such as population. The goal is to make the area sizes proportional to the selected variable while preserving geographic positions as much as possible.
Maintained by Martijn Tennekes. Last updated 26 days ago.
1 stars 4.40 score 1 scripts
calfarog
GREENeR:Geospatial Regression Equation for European Nutrient Losses (GREEN)
Tools and methods to apply the model Geospatial Regression Equation for European Nutrient losses (GREEN); Grizzetti et al. (2005) <doi:10.1016/j.jhydrol.2004.07.036>; Grizzetti et al. (2008); Grizzetti et al. (2012) <doi:10.1111/j.1365-2486.2011.02576.x>; Grizzetti et al. (2021) <doi:10.1016/j.gloenvcha.2021.102281>.
Maintained by C. Alfaro. Last updated 7 months ago.
calibrationgeospatialnutrientplots
1 stars 4.00 score 9 scripts
ropensci
ReLTER:An Interface for the eLTER Community
ReLTER provides access to DEIMS-SDR (https://deims.org/), and allows interaction with data and software implemented by eLTER Research Infrastructure (RI) thus improving data sharing among European LTER projects. ReLTER uses the R language to access and interact with the DEIMS-SDR archive of information shared by the Long Term Ecological Research (LTER) network. This package grew within eLTER H2020 as a major project that will help advance the development of European Long-Term Ecosystem Research Infrastructures (eLTER RI - https://elter-ri.eu). The ReLTER package functions in particular allow to: - retrieve the information about entities (e.g. sites, datasets, and activities) shared by DEIMS-SDR (see e.g. get_site_info function); - interact with the [ODSEurope](maps.opendatascience.eu) starting with the dataset shared by [DEIMS-SDR](https://deims.org/) (see e.g. [get_site_ODS](https://docs.ropensci.org/ReLTER/reference/get_site_ODS.html) function); - use the eLTER site informations to download and crop geospatial data from other platforms (see e.g. get_site_ODS function); - improve the quality of the dataset (see e.g. get_id_worms). Functions currently implemented are derived from discussions of the needs among the eLTER users community. The ReLTER package will continue to follow the progress of eLTER-RI and evolve, adding new tools and improvements as required.
Maintained by Alessandro Oggioni. Last updated 1 years ago.
biodiversity-informaticsdata-scienceecologyelterresearch-infrastructure
12 stars 3.38 score 4 scriptse-sensing
bayesEO:Bayesian Smoothing of Remote Sensing Image Classification
A Bayesian smoothing method for post-processing of remote sensing image classification which refines the labelling in a classified image in order to enhance its classification accuracy. Combines pixel-based classification methods with a spatial post-processing method to remove outliers and misclassified pixels.
Maintained by Gilberto Camara. Last updated 10 months ago.
4 stars 3.30 score 6 scripts
nenuial
geographer:Geography Vizualisations
Provides function and objects to establish vizualisations for my Geography lessons.
Maintained by Pascal Burkhard. Last updated 1 months ago.
2 stars 3.08 score
nowosad
geostatbook:Geostatystyka w R
Materialy do skryptu Geostatystyka w R.
Maintained by Jakub Nowosad. Last updated 3 years ago.
6 stars 2.88 score 25 scripts
myaseen208
ppcSpatial:Spatial Analysis of Pakistan Population Census
Spatial Analysis for exploration of Pakistan Population Census 2017 (<http://www.pbscensus.gov.pk/>). It uses data from R package 'PakPC2017'.
Maintained by Muhammad Yaseen. Last updated 2 years ago.
2.70 score 3 scripts
cran
bangladesh:Provides Ready to Use Shapefiles for Geographical Map of Bangladesh
Usually, it is difficult to plot choropleth maps for Bangladesh in 'R'. The 'bangladesh' package provides ready-to-use shapefiles for different administrative regions of Bangladesh (e.g., Division, District, Upazila, and Union). This package helps users to draw thematic maps of administrative regions of Bangladesh easily as it comes with the 'sf' objects for the boundaries. It also provides functions allowing users to efficiently get specific area maps and center coordinates for regions. Users can also search for a specific area and calculate the centroids of those areas.
Maintained by Musaddiqur Rahman Ovi. Last updated 2 years ago.
1 stars 2.70 score
ecamenen
MainExistingDatasets:Main Existing Human Datasets
Shiny for Open Science to visualize, share, and inventory the main existing human datasets for researchers.
Maintained by Etienne Camenen. Last updated 2 years ago.
biomedicalinformaticsdatarepresentationvisualization
2.70 score 1 scriptscran
LabourMarketAreas:Identification, Tuning, Visualisation and Analysis of Labour Market Areas
Produces Labour Market Areas from commuting flows available at elementary territorial units. It provides tools for automatic tuning based on spatial contiguity. It also allows for statistical analyses and visualisation of the new functional geography.
Maintained by Luisa Franconi. Last updated 1 years ago.
2.00 score
fdzul
boldenr:boldenr: a package designed to generate of Dengue Bulletin of Veracruz state
This package contains functions designed specifically to generate graphs, tables, heatmap, maps and hotspots that allow designing the dengue bulletin of the state of Veracruz.
Maintained by The package maintainer. Last updated 12 months ago.
1 stars 1.81 score 13 scripts
workshop-brg
abmR:Agent-Based Models in R
Supplies tools for running agent-based models (ABM) in R, as discussed in Gochanour et al. (2022) <doi:10.1111/2041-210X.14014>. The package contains two movement functions, each of which is based on the Ornstein-Uhlenbeck (OU) model (Ornstein & Uhlenbeck, 1930) <doi:10.1103/PhysRev.36.823>. It also contains several visualization and data summarization functions to facilitate the presentation of simulation results.
Maintained by Benjamin Gochanour. Last updated 2 years ago.
1 stars 1.70 score