f-tonini Goto Github PK

azure-cli

Command-line tools for Azure.

background-slider

Full Screen Background Slider for Yelp Camp

beautiful-jekyll

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

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

california_rainfall

California rainfall forecasting RAMP starting kit

chans-tools

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

coffee-and-viz

Presentations for Coffee & Viz events

cognitive-services-python-sdk-samples

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

datasciencecoursera

This repo has been created as part of the Data Science Signature Track - The Data Scientist’s Toolbox course

datasharing

The Leek group guide to data sharing

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.

enviroatlas_jsapp

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

extension-base-eda

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

extreme-values-for-gridded-data

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

f-tonini.github.io

Francesco Tonini's website - Geospatial Data Scientist

getting-and-cleaning-data

This repo contains the Rscript used for the final project of the "Getting and Cleaning Data" course, Data Science Signature Track (Coursera).

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.

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.

imagery-apps

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

intro-spatial-r

This repo contains all the scripts and materials used for the student workshop "Using R to Model, Manipulate, and Manage Spatial Data"

jekyll-serve

Jekyll in a Docker Container For Easy SSG Development

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

machinelearningsamples-aerialimageclassification

MachineLearningSamples-AerialImageClassification

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

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.

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

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.

python_for_geosciences

Introduction to python use in geosciences.

r-griddedextremes-py

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