Showing 20 of total 20 results (show query)
mikejohnson51
AOI:Areas of Interest
A consistent tool kit for forward and reverse geocoding and defining boundaries for spatial analysis.
Maintained by Mike Johnson. Last updated 1 years ago.
aoiarea-of-interestbounding-boxesgisspatialsubset
78.5 match 37 stars 4.98 score 174 scripts 1 dependentsmikejohnson51
climateR:climateR
Find, subset, and retrive geospatial data by AOI.
Maintained by Mike Johnson. Last updated 3 months ago.
aoiclimatedatasetgeospatialgridded-climate-dataweather
11.6 match 187 stars 8.74 score 156 scripts 1 dependentssamhforbes
eyetrackingR:Eye-Tracking Data Analysis
Addresses tasks along the pipeline from raw data to analysis and visualization for eye-tracking data. Offers several popular types of analyses, including linear and growth curve time analyses, onset-contingent reaction time analyses, as well as several non-parametric bootstrapping approaches. For references to the approach see Mirman, Dixon & Magnuson (2008) <doi:10.1016/j.jml.2007.11.006>, and Barr (2008) <doi:10.1016/j.jml.2007.09.002>.
Maintained by Samuel Forbes. Last updated 2 years ago.
8.4 match 22 stars 7.84 score 60 scriptstombeesley
eyetools:Analyse Eye Data
Enables the automation of actions across the pipeline, including initial steps of transforming binocular data and gap repair to event-based processing such as fixations, saccades, and entry/duration in Areas of Interest (AOIs). It also offers visualisation of eye movement and AOI entries. These tools take relatively raw (trial, time, x, and y form) data and can be used to return fixations, saccades, and AOI entries and time spent in AOIs. As the tools rely on this basic data format, the functions can work with data from any eye tracking device. Implements fixation and saccade detection using methods proposed by Salvucci and Goldberg (2000) <doi:10.1145/355017.355028>.
Maintained by Tom Beesley. Last updated 3 months ago.
areas-of-interestattention-visualizationcognitive-sciencedwell-time-algorithmeye-trackereye-trackingeyetrackingggplot2psychologypsychology-experimentssaccadestobiitobii-eye-trackervisualization
8.2 match 4 stars 5.45 score 8 scriptsazvoleff
gfcanalysis:Tools for Working with Hansen et al. Global Forest Change Dataset
Supports analyses using the Global Forest Change dataset released by Hansen et al. gfcanalysis was originally written for the Tropical Ecology Assessment and Monitoring (TEAM) Network. For additional details on the Global Forest Change dataset, see: Hansen, M. et al. 2013. "High-Resolution Global Maps of 21st-Century Forest Cover Change." Science 342 (15 November): 850-53. The forest change data and more information on the product is available at <http://earthenginepartners.appspot.com>.
Maintained by Matthew Cooper. Last updated 1 years ago.
8.5 match 17 stars 4.93 score 33 scriptspvanlaake
ncdfCF:Easy Access to NetCDF Files with CF Metadata Conventions
Network Common Data Form ('netCDF') files are widely used for scientific data. Library-level access in R is provided through packages 'RNetCDF' and 'ncdf4'. Package 'ncdfCF' is built on top of 'RNetCDF' and makes the data and its attributes available as a set of R6 classes that are informed by the Climate and Forecasting Metadata Conventions. Access to the data uses standard R subsetting operators and common function forms.
Maintained by Patrick Van Laake. Last updated 2 days ago.
5.3 match 5.41 score 4 scriptsusaid-oha-si
gisr:Geospatial Analytics Utility functions
R Spatial functions for HIV/AIDS related Geospatial Analytics.
Maintained by Baboyma Kagniniwa. Last updated 1 years ago.
3.6 match 2 stars 5.29 score 328 scriptstjmahr
littlelisteners:Helper Functions for Hand-coded Eyetracking Data
This package houses frequently used functions for working with hand-coded eyetracking data.
Maintained by Tristan Mahr. Last updated 8 months ago.
5.7 match 1 stars 2.28 score 19 scriptsbcknr
rlandfire:Interface to 'LANDFIRE Product Service' API
Provides access to a suite of geospatial data layers for wildfire management, fuel modeling, ecology, natural resource management, climate, conservation, etc., via the 'LANDFIRE' (<https://www.landfire.gov/index.php>) Product Service ('LFPS') API.
Maintained by Mark Buckner. Last updated 1 months ago.
2.2 match 13 stars 5.46 score 11 scriptsalexander-pastukhov
eyelinkReader:Import Gaze Data for EyeLink Eye Tracker
Import gaze data from edf files generated by the SR Research <https://www.sr-research.com/> EyeLink eye tracker. Gaze data, both recorded events and samples, is imported per trial. The package allows to extract events of interest, such as saccades, blinks, etc. as well as recorded variables and custom events (areas of interest, triggers) into separate tables. The package requires EDF API library that can be obtained at <https://www.sr-research.com/support/>.
Maintained by Alexander Pastukhov. Last updated 3 months ago.
edfeye-trackingeyelinksr-researchcpp
1.8 match 13 stars 6.52 score 34 scriptsjgeller112
webgazeR:Tools for Processing Webcam Eye Tracking Data
A companion package to gazeR. Functions for reading and pre-processing webcam eye tracking data.
Maintained by Jason Geller. Last updated 4 days ago.
3.4 match 1 stars 3.20 score 21 scriptsropensci
rOPTRAM:Derive Soil Moisture Using the OPTRAM Algorithm
The OPtical TRapezoid Model (OPTRAM) derives soil moisture based on the linear relation between a vegetation index and Land Surface Temperature (LST). The Short Wave Infra-red (SWIR) band is used as a proxy for LST. See: Sadeghi, M. et al., 2017. <https://doi.org/10.1016/j.rse.2017.05.041> .
Maintained by Micha Silver. Last updated 1 months ago.
1.8 match 9 stars 5.73 score 6 scriptsdrjohanlk
kollaR:Filtering, Visualization and Analysis of Eye Tracking Data
Functions for analysing eye tracking data, including event detection (I-VT, I-DT and two means clustering), visualizations and area of interest (AOI) based analyses. See separate documentation for each function. The principles underlying I-VT and I-DT filters are described in Salvucci & Goldberg (2000,\doi{10.1145/355017.355028}). Two-means clustering is described in Hessels et al. (2017, \doi{10.3758/s13428-016-0822-1}).
Maintained by Johan Lundin Kleberg. Last updated 24 days ago.
6.8 match 1.30 scoremlampros
fitbitViz:'Fitbit' Visualizations
Connection to the 'Fitbit' Web API <https://dev.fitbit.com/build/reference/web-api/> by including 'ggplot2' Visualizations, 'Leaflet' and 3-dimensional 'Rayshader' Maps. The 3-dimensional 'Rayshader' Map requires the installation of the 'CopernicusDEM' R package which includes the 30- and 90-meter elevation data.
Maintained by Lampros Mouselimis. Last updated 1 years ago.
blogdownfitbitfitbit-apigithub-actionsvisualization
1.7 match 9 stars 4.65 score 1 scriptssanverhavert
eyeRead:Prepare/Analyse Eye Tracking Data for Reading
Functions to prepare and analyse eye tracking data of reading exercises. The functions allow some basic data preparations and code fixations as first and second pass. First passes can be further devided into forward and reading. The package further allows for aggregating fixation times per AOI or per AOI and per type of pass (first forward, first rereading, second). These methods are based on Hyönä, Lorch, and Rinck (2003) <doi:10.1016/B978-044451020-4/50018-9> and Hyönä, and Lorch (2004) <doi:10.1016/j.learninstruc.2004.01.001>. It is also possible to convert between metric length and visual degrees.
Maintained by San Verhavert. Last updated 5 years ago.
2.6 match 2 stars 3.00 score 1 scriptsbioc
SpatialOmicsOverlay:Spatial Overlay for Omic Data from Nanostring GeoMx Data
Tools for NanoString Technologies GeoMx Technology. Package to easily graph on top of an OME-TIFF image. Plotting annotations can range from tissue segment to gene expression.
Maintained by Maddy Griswold. Last updated 5 months ago.
geneexpressiontranscriptioncellbasedassaysdataimporttranscriptomicsproteomicsproprietaryplatformsrnaseqspatialdatarepresentationvisualizationopenjdk
1.7 match 4.30 score 8 scriptschrislittleboy
damAOI:Create an 'Area of Interest' Around a Constructed Dam for Comparative Impact Evaluations
Define a spatial 'Area of Interest' (AOI) around a constructed dam using hydrology data. Dams have environmental and social impacts, both positive and negative. Current analyses of dams have no consistent way to specify at what spatial extent we should evaluate these impacts. 'damAOI' implements methods to adjust reservoir polygons to match satellite-observed surface water areas, plot upstream and downstream rivers using elevation data and accumulated river flow, and draw buffers clipped by river basins around reservoirs and relevant rivers. This helps to consistently determine the areas which could be impacted by dam construction, facilitating comparative analysis and informed infrastructure investments.
Maintained by Chris Littleboy. Last updated 8 months ago.
1.8 match 4.00 scoreearthlab
cft:Climate Futures Toolbox
Developed as a collaboration between Earth lab and the North Central Climate Adaptation Science Center to help users gain insights from available climate data. Includes tools and instructions for downloading climate data via a 'USGS' API and then organizing those data for visualization and analysis that drive insight. Web interface for 'USGS' API can be found at <http://thredds.northwestknowledge.net:8080/thredds/reacch_climate_CMIP5_aggregated_macav2_catalog.html>.
Maintained by Erick Verleye. Last updated 2 years ago.
1.2 match 4.70 score 50 scriptsdstgithub
GrpString:Patterns and Statistical Differences Between Two Groups of Strings
Methods include converting series of event names to strings, finding common patterns in a group of strings, discovering featured patterns when comparing two groups of strings as well as the number and starting position of each pattern in each string, obtaining transition matrix, computing transition entropy, statistically comparing the difference between two groups of strings, and clustering string groups. Event names can be any action names or labels such as events in log files or areas of interest (AOIs) in eye tracking research.
Maintained by Hui (Tom) Tang. Last updated 7 years ago.
0.5 match 2 stars 3.48 score 30 scripts