Francesco Tonini (f-tonini)

f-tonini

Geek Repo

Company:The Nature Conservancy

Location:Denver, CO

Home Page:https://FrancescoTonini.com

Twitter:@f_tonini

Github PK Tool:Github PK Tool


Organizations
LANDIS-II-Foundation

Francesco Tonini's repositories

GIS610_SpatialR

This repository contains the scripts and materials used in the GIS610 course at the Center for Geospatial Analytics, North Carolina State University. The two lectures introduce basic concepts of R and its ability to work with and visualize spatial data.

Language:HTMLLicense:Apache-2.0Stargazers:3Issues:3Issues:0

Microclimate-Sonoma

This repository contains the R scripts developed for the data processing and analysis steps used with the microclimate temperature measurements recorded in the Sonoma study system, California

Language:RLicense:Apache-2.0Stargazers:3Issues:2Issues:0

storm_forecast

Storm intensity forecasting using machine learning and RAMP distributed high computing environments

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:3Issues:2Issues:0

deep-learning-es

This repository contains all the code, files, and documentation needed to run our Python deep learning toolbox for ArcGIS Pro --a GUI-based tool to extract user-uploaded photos from a 2005-2017 Flickr database and predict density of nature-based photos using a trained Convolutional Neural Network (CNN) model with TensorFlow.

Language:PythonLicense:Apache-2.0Stargazers:2Issues:3Issues:0

SAVI-tool

This repository contains all the code and documentation for the Simulation Accuracy & Validation Informatics (SAVI) tool: a convenient, freely-available GUI-based tool designed to facilitate and automate the validation of simulated land change models.

Language:PythonLicense:GPL-2.0Stargazers:1Issues:2Issues:1

SOD-modeling

This repository contains the scripts used to develop a stochastic landscape spread model for sudden oak death (SOD)

Language:RLicense:Apache-2.0Stargazers:1Issues:5Issues:2

Extension-Base-EDA

This repository contains the source code and documentation for the Epidemiological Disturbance Agent (EDA) extension of LANDIS-II Landscape Change Model

Language:C#License:Apache-2.0Stargazers:0Issues:2Issues:0

Extreme-Values-For-Gridded-Data

This repository contains R scripts used to estimate return levels, probabilities of exceedance, and GEV parameters for gridded data

Language:RLicense:Apache-2.0Stargazers:0Issues:2Issues:0

azure-cli

Command-line tools for Azure.

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

background-slider

Full Screen Background Slider for Yelp Camp

Language:JavaScriptStargazers:0Issues:2Issues:0

beautiful-jekyll

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

Language:HTMLLicense:MITStargazers:0Issues:0Issues:0

beautiful-jekyll-docker

This repository contains the docker files linked to the automatic build public repo on Docker Hub for local development of Jekyll sites with the beautiful-jekyll template by Dean Attali

Language:HTMLLicense:MITStargazers:0Issues:3Issues:1

california_rainfall

California rainfall forecasting RAMP starting kit

Language:Jupyter NotebookStargazers:0Issues:2Issues:0

CHANS-tools

Collections of geoprocessing tools for coupled human-natural systems (CHANS) analysis using R scripts within ESRI's ArcGIS

Language:RStargazers:0Issues:2Issues:0

cognitive-services-python-sdk-samples

Learn how to use the Cognitive Services Python SDK with these samples

Language:PythonLicense:MITStargazers:0Issues:2Issues:0
Language:JavaScriptStargazers:0Issues:2Issues:0

f-tonini.github.io

Francesco Tonini's website - Geospatial Data Scientist

Language:HTMLLicense:Apache-2.0Stargazers:0Issues:0Issues:0

IdrisiRaster-C-R

This repository contains a Windows executable, a series of Idrisi Raster image files, and an R script to automate the estimation of statistically significant temporal trends, average, and coefficient of variation on each pixel. The R code connects to the C language via command shell in order to pre-process the input raster imagery for R.

Language:RLicense:Apache-2.0Stargazers:0Issues:2Issues:0

Imagery-Apps

Example JavaScript source code for ArcGIS imagery apps (Landsat Explorer and Sentinel Explorer) that you can expand or customize.

Language:JavaScriptLicense:Apache-2.0Stargazers:0Issues:0Issues:0

jekyll-serve

Jekyll in a Docker Container For Easy SSG Development

Language:ShellLicense:MITStargazers:0Issues:2Issues:0

LANDIS-II_EDA_CaseStudy

This repository was created to host reproducible code, data, and installers for users interested in running a case study simulation of the LANDIS-II EDA extension

Language:RLicense:Apache-2.0Stargazers:0Issues:4Issues:0

MachineLearningSamples-AerialImageClassification

MachineLearningSamples-AerialImageClassification

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

pixel_level_land_classification

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Language:Jupyter NotebookLicense:MITStargazers:0Issues:2Issues:0

py-geo

This repository contains a curated collection of Python scripts developed over the years as part of different projects involving geospatial analysis and tools.

Language:PythonLicense:Apache-2.0Stargazers:0Issues:2Issues:0

R-GriddedExtremes-py

Repository containing all files and folders of my custom R-ArcGIS tool using extreme value models for gridded data

Language:RLicense:Apache-2.0Stargazers:0Issues:2Issues:0

rayshader

R Package for Raytracing Elevation Matrices to Produce Global Illumination Relief Maps

Language:RStargazers:0Issues:0Issues:0

SpeciesClassification

AI for Earth Species Classification API

Language:Jupyter NotebookLicense:MITStargazers:0Issues:2Issues:0

Termite-Dispersal-Simulation

R files used to run an agent-based simulation for termite dispersal. Both single-run (simple) and multi-run (MonteCarlo) simulation codes can be used to estimate the total area covered after each year.

Language:RLicense:Apache-2.0Stargazers:0Issues:3Issues:0

udemy-docker-mastery

Udemy Course to build, compose, deploy, and manage containers from local development to high-availability in the cloud

Language:JavaScriptLicense:MITStargazers:0Issues:2Issues:0

WAB-Image-Services-Widgets

WAB widgets specific to image services – WABIS

Language:JavaScriptLicense:Apache-2.0Stargazers:0Issues:2Issues:0