sacrevert
Analyst and plant ecologist at UKCEH Wallingford
@NERC-CEH @BiologicalRecordsCentre Wallingford, UK
Pinned Repositories
142--UKOT--horizon-scanning
Code for work on UKOT plant horizon scanning materials
175-SoN2019
State of Nature plants 2019
dunescapeR
fRescalo
R rewrite of Hill (2012; 10.1111/j.2041-210X.2011.00146.x) fortran code
frescaloR
FRESCALO implemented in R
NPMSTrends2
Further dev work on NPMS species indicator
sacrevert's Repositories
sacrevert/frescaloR
FRESCALO implemented in R
sacrevert/NPMStrends
Beginning work on data extracts and trends for NPMS species
sacrevert/142--UKOT--horizon-scanning
Code for work on UKOT plant horizon scanning materials
sacrevert/175-SoN2019
State of Nature plants 2019
sacrevert/BDA_R_demos
Bayesian Data Analysis demos for R
sacrevert/dunescapeR
sacrevert/fRescalo
R rewrite of Hill (2012; 10.1111/j.2041-210X.2011.00146.x) fortran code
sacrevert/NPMSTrends2
Further dev work on NPMS species indicator
sacrevert/createIDFneighbourhood
Frescalo neighbourhoods for the Ile-de-France
sacrevert/Cyprus-UTM-grids
Cyprus UTM 10km grid and function to create subdivisions in R
sacrevert/Ecology-Conservation
sacrevert/example-notebooks
Miscellaneous notebooks to use with Sentinel Hub
sacrevert/Frequency-rescaling-demo
Example of how frequency scaling using local occupancy (FreScaLO) works
sacrevert/frescaloNeighbourhoods
Various frescalo neighbourhoods
sacrevert/ISO-3166-Countries-with-Regional-Codes
ISO 3166-1 country lists merged with their UN Geoscheme regional codes in ready-to-use JSON, XML, CSV data sets
sacrevert/llm-eval
Scripts and data for LLM evaluation.
sacrevert/occAssessSwedenEg
occAssess example using Swedish GBIF Cerambycidae data
sacrevert/RangeChangeSims
Range Change simulations
sacrevert/ROBITT
Risk-Of-Bias in Temporal Trends in Ecology (ROBITT)
sacrevert/ROBITT_ideas
Response to ROBITT workshop (some ideas presented in isoslides)
sacrevert/selectionBiasEffects
https://www.sciencedirect.com/science/article/pii/S0169534723000058
sacrevert/sen2mosaic
Building cloud-free mosaics of Sentinel-2 data for land cover mapping is difficult, with existing tools still under-development and frequently confusing.
sacrevert/shinyforms
Easily create questionnaire-type forms with Shiny
sacrevert/simpleFrescaloDemo
sacrevert/soaR
Species' occurrence analyses in R
sacrevert/starter-academic
🎓 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.
sacrevert/Topographical-Feature-Extraction-Using-Machine-Learning-Techniques-from-Sentinel-2A-Imagery-
The advancement in the satellite technology has made it possible to easily and frequently obtain the satellite images of most of the regions in the Earth. The satellite data contains abundant amount of information which can be very useful for variety of societal applications. However, manual identification of the land cover in a particular area is a very challenging and time-consuming task. we propose a method for classifying the land types from Sentinel 2A imagery using various models like random forest, SVM, Naive Bayes, Decision Tree (CART) and validate which model better classifies them. QGIS software is used to generate training data for the classifier. The analysis reveals that random forest classifier outperforms the rest of the classification methods in terms of better accuracy. This automated approach can be applied to large sets of data, reducing the need for manual labeling.
sacrevert/USSpensions
Calculations for USS pensions
sacrevert/visualiseFresNeighbours
Quick tool for visualising neighbourhoods used in Frescalo