R

GridDER

GridDER is a tool for identifying biodiversity records that have been designated locations on widely used grid systems. Our tool also estimates the degree of environmental heterogeneity associated with grid systems, allowing users to make informed decisions about how to use such occurrence data in global change studies. We show that a significant proportion (~13.5%; 261 million) of records on GBIF, largest aggregator of natural history collection data, are potentially gridded data, and demonstrate that our tool can reliably identify such records and quantify the associated uncertainties.The package can serve as a tool to not only screen for gridded points, but to quantify the geographic and environmental uncertainties associated with these records, which can be used to inform models and analyses that utilize these data, including those pertaining to global change

VI International Seminar on Statistics with R

Google Earth Engine (GEE) is a cloud platform that hosts large volumes of geospatial data. It offers high-performance services for large analyses. However, the infrastructure is in JavaScript or Python. The rgee package is a new alternative to accessing the GEE platform in the R language. Therefore, in this presentation, I will introduce the package to popularize this access through R. I talk: 1- Installations 2- Basic functions and package syntax 3- Case studies

A third post

Série: A Spoonful of Hugo

Grid is the very first CSS module created specifically to solve the layout problems we’ve all been hacking our way around for as long as we’ve been making websites.

A second post

Série: A Spoonful of Hugo

Grid is the very first CSS module created specifically to solve the layout problems we’ve all been hacking our way around for as long as we’ve been making websites.

A first post

Série: A Spoonful of Hugo

Grid is the very first CSS module created specifically to solve the layout problems we’ve all been hacking our way around for as long as we’ve been making websites.