Showing 8 of total 8 results (show query)
bluegreen-labs
daymetr:Interface to the 'Daymet' Web Services
Programmatic interface to the 'Daymet' web services (<http://daymet.ornl.gov>). Allows for easy downloads of 'Daymet' climate data directly to your R workspace or your computer. Routines for both single pixel data downloads and gridded (netCDF) data are provided.
Maintained by Koen Hufkens. Last updated 1 years ago.
climate-datadata-sciencedaymetgridded-datanetcdfornl-daac
27.3 match 31 stars 8.13 score 242 scripts 2 dependentsjeffreyevans
spatialEco:Spatial Analysis and Modelling Utilities
Utilities to support spatial data manipulation, query, sampling and modelling in ecological applications. Functions include models for species population density, spatial smoothing, multivariate separability, point process model for creating pseudo- absences and sub-sampling, Quadrant-based sampling and analysis, auto-logistic modeling, sampling models, cluster optimization, statistical exploratory tools and raster-based metrics.
Maintained by Jeffrey S. Evans. Last updated 15 days ago.
biodiversityconservationecologyr-spatialrasterspatialvector
8.5 match 110 stars 9.55 score 736 scripts 2 dependentsfemiguez
apsimx:Inspect, Read, Edit and Run 'APSIM' "Next Generation" and 'APSIM' Classic
The functions in this package inspect, read, edit and run files for 'APSIM' "Next Generation" ('JSON') and 'APSIM' "Classic" ('XML'). The files with an 'apsim' extension correspond to 'APSIM' Classic (7.x) - Windows only - and the ones with an 'apsimx' extension correspond to 'APSIM' "Next Generation". For more information about 'APSIM' see (<https://www.apsim.info/>) and for 'APSIM' next generation (<https://apsimnextgeneration.netlify.app/>).
Maintained by Fernando Miguez. Last updated 4 days ago.
3.5 match 59 stars 9.71 score 68 scripts 2 dependentsncss-tech
sharpshootR:A Soil Survey Toolkit
A collection of data processing, visualization, and export functions to support soil survey operations. Many of the functions build on the `SoilProfileCollection` S4 class provided by the aqp package, extending baseline visualization to more elaborate depictions in the context of spatial and taxonomic data. While this package is primarily developed by and for the USDA-NRCS, in support of the National Cooperative Soil Survey, the authors strive for generalization sufficient to support any soil survey operation. Many of the included functions are used by the SoilWeb suite of websites and movile applications. These functions are provided here, with additional documentation, to enable others to replicate high quality versions of these figures for their own purposes.
Maintained by Dylan Beaudette. Last updated 15 days ago.
3.4 match 18 stars 8.37 score 327 scriptsmikejohnson51
climateR:climateR
Find, subset, and retrive geospatial data by AOI.
Maintained by Mike Johnson. Last updated 3 months ago.
aoiclimatedatasetgeospatialgridded-climate-dataweather
1.8 match 187 stars 8.74 score 156 scripts 1 dependentsbluegreen-labs
phenocamr:Facilitates 'PhenoCam' Data Access and Time Series Post-Processing
Programmatic interface to the 'PhenoCam' web services (<https://phenocam.nau.edu/webcam>). Allows for easy downloading of 'PhenoCam' data directly to your R workspace or your computer and provides post-processing routines for consistent and easy timeseries outlier detection, smoothing and estimation of phenological transition dates. Methods for this package are described in detail in Hufkens et. al (2018) <doi:10.1111/2041-210X.12970>.
Maintained by Koen Hufkens. Last updated 1 years ago.
phenocamphenocam-dataphenology-modellingremote-sensing
1.8 match 22 stars 6.69 score 75 scripts 1 dependentsncss-tech
jNSMR:Interface to the 'Java Newhall Simulation Model' (jNSM) "A Traditional Soil Climate Simulation Model"
Provides methods to create input, read output, and run the routines from the legacy Java Newhall Simulation Model (jNSM) for soil climate. Currently this package uses a modified version of the jNSM v1.6.1 which is available for download here: <https://www.nrcs.usda.gov/wps/portal/nrcs/detail/?cid=nrcs142p2_053559> and the source code found here <https://github.com/drww/newhall/>. The system requirements of the extraction and installation tools (Windows .EXE archive) at the official download link may not be met on your system but the core Java class files are stored in a platform-independent format (a Java JAR file; e.g. newhall-1.6.1.jar) which is a core dependency in this package. Several more recent modifications to the Newhall JAR file allow for higher throughput and more efficient batching of many simulations allowing for larger-than-memory raster-based inputs and outputs.
Maintained by Andrew G. Brown. Last updated 14 days ago.
climatejavajnsmmodelnewhallsimulationsoilopenjdk
1.7 match 1 stars 3.70 score 25 scripts