Pinned Repositories
GWR
Geographically Weighted Regression
HTP
Tools for High-Throughput Phenotyping
MCGSA
The function uses the phenotypic information from plots (entries) in a vertical/horizental/circular grid to obtain an adjusted (for environmental variation) phenotypic value of the entry in the center of the grid. The adjustment is done by calculating the mean of all the entries included and using it as a covariate.
Orthomosaic-Generation
This script was written using the help of Aggisoft manual and Agisoft support team.
Plot-Boundary-Extraction-CSV-KML
In this approach, first I create a KML file from the field map (.CSV) using Python, generate polygon shapefiles with known size for each plot from KML file, and assign plot ID to each plot using the field map. To define the geographic extent of the field, the python script asks for the coordinate of two points in the field: the start point of the first plot and the end point of the last plot. Then it starts from building the first polygon using the defined plot size, and skips the gap between plots and generates the next one until it gets to the last plot. In this approach the plot IDs are assigned automatically and simultaneously from the field map excel sheet.
uavBatch
HTP
Tools for High-Throughput Phenotyping
atenah's Repositories
atenah/Plot-Boundary-Extraction-CSV-KML
In this approach, first I create a KML file from the field map (.CSV) using Python, generate polygon shapefiles with known size for each plot from KML file, and assign plot ID to each plot using the field map. To define the geographic extent of the field, the python script asks for the coordinate of two points in the field: the start point of the first plot and the end point of the last plot. Then it starts from building the first polygon using the defined plot size, and skips the gap between plots and generates the next one until it gets to the last plot. In this approach the plot IDs are assigned automatically and simultaneously from the field map excel sheet.
atenah/GWR
Geographically Weighted Regression
atenah/HTP
Tools for High-Throughput Phenotyping
atenah/MCGSA
The function uses the phenotypic information from plots (entries) in a vertical/horizental/circular grid to obtain an adjusted (for environmental variation) phenotypic value of the entry in the center of the grid. The adjustment is done by calculating the mean of all the entries included and using it as a covariate.
atenah/Orthomosaic-Generation
This script was written using the help of Aggisoft manual and Agisoft support team.
atenah/uavBatch