Francesco Tonini's Projects
Command-line tools for Azure.
Full Screen Background Slider for Yelp Camp
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
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
California rainfall forecasting RAMP starting kit
Collections of geoprocessing tools for coupled human-natural systems (CHANS) analysis using R scripts within ESRI's ArcGIS
Presentations for Coffee & Viz events
Learn how to use the Cognitive Services Python SDK with these samples
This repo has been created as part of the Data Science Signature Track - The Data Scientist’s Toolbox course
The Leek group guide to data sharing
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.
Plotting Assignment 1 for Exploratory Data Analysis
This repository contains the source code and documentation for the Epidemiological Disturbance Agent (EDA) extension of LANDIS-II Landscape Change Model
This repository contains R scripts used to estimate return levels, probabilities of exceedance, and GEV parameters for gridded data
Francesco Tonini's website - Geospatial Data Scientist
This repo contains the Rscript used for the final project of the "Getting and Cleaning Data" course, Data Science Signature Track (Coursera).
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.
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.
Example JavaScript source code for ArcGIS imagery apps (Landsat Explorer and Sentinel Explorer) that you can expand or customize.
This repo contains all the scripts and materials used for the student workshop "Using R to Model, Manipulate, and Manage Spatial Data"
Jekyll in a Docker Container For Easy SSG Development
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
MachineLearningSamples-AerialImageClassification
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
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.
Repository for Programming Assignment 2 for R Programming on Coursera
This repository contains a curated collection of Python scripts developed over the years as part of different projects involving geospatial analysis and tools.
Introduction to python use in geosciences.
Repository containing all files and folders of my custom R-ArcGIS tool using extreme value models for gridded data