f-tonini

Geospatial Data Scientist. Interests: Earth Observation/Remote Sensing, Geospatial Modeling, Conservation Planning & Sustainability

The Nature ConservancyDenver, CO

Pinned Repositories

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:Python2 3 02
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#0 2 00
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:R0 2 00
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:HTML3 3 03
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"
Language:HTML3 6 04
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:R3 2 02
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:Python1 2 11
SOD-modeling
This repository contains the scripts used to develop a stochastic landscape spread model for sudden oak death (SOD)
Language:R1 5 24
storm_forecast
Storm intensity forecasting using machine learning and RAMP distributed high computing environments
Language:Jupyter Notebook3 2 02
telecoupling-toolbox
A suite of geospatial software tools and apps for socioeconomic and environmental analysis on coupled human-natural systems (CHANS) from local to global scales
Language:JavaScript15 8 111

f-tonini's Repositories

f-tonini/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:HTML3 3 03
f-tonini/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:R3 2 02
f-tonini/storm_forecast
Storm intensity forecasting using machine learning and RAMP distributed high computing environments
Language:Jupyter Notebook3 2 02
f-tonini/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:Python2 3 02
f-tonini/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:Python1 2 11
f-tonini/SOD-modeling
This repository contains the scripts used to develop a stochastic landscape spread model for sudden oak death (SOD)
Language:R1 5 24
f-tonini/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#0 2 00
f-tonini/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:R0 2 00
f-tonini/azure-cli
Command-line tools for Azure.
Language:Python2 0
f-tonini/background-slider
Full Screen Background Slider for Yelp Camp
Language:JavaScript2 0
f-tonini/beautiful-jekyll
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
Language:HTML2 0
f-tonini/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:HTML3 12
f-tonini/california_rainfall
California rainfall forecasting RAMP starting kit
Language:Jupyter Notebook2 01
f-tonini/CHANS-tools
Collections of geoprocessing tools for coupled human-natural systems (CHANS) analysis using R scripts within ESRI's ArcGIS
Language:R2 0
f-tonini/cognitive-services-python-sdk-samples
Learn how to use the Cognitive Services Python SDK with these samples
Language:Python2 0
f-tonini/EnviroAtlas_JSApp
Language:JavaScript2 0
f-tonini/f-tonini.github.io
Francesco Tonini's website - Geospatial Data Scientist
Language:HTML2 0
f-tonini/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:R2 0
f-tonini/Imagery-Apps
Example JavaScript source code for ArcGIS imagery apps (Landsat Explorer and Sentinel Explorer) that you can expand or customize.
Language:JavaScript2 01
f-tonini/jekyll-serve
Jekyll in a Docker Container For Easy SSG Development
Language:Shell2 0
f-tonini/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:R4 0
f-tonini/MachineLearningSamples-AerialImageClassification
MachineLearningSamples-AerialImageClassification
Language:Python2 0
f-tonini/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 Notebook2 01
f-tonini/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:Python2 02
f-tonini/R-GriddedExtremes-py
Repository containing all files and folders of my custom R-ArcGIS tool using extreme value models for gridded data
Language:R2 0
f-tonini/rayshader
R Package for Raytracing Elevation Matrices to Produce Global Illumination Relief Maps
Language:R1 01
f-tonini/SpeciesClassification
AI for Earth Species Classification API
Language:Jupyter Notebook2 0
f-tonini/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:R3 01
f-tonini/udemy-docker-mastery
Udemy Course to build, compose, deploy, and manage containers from local development to high-availability in the cloud
Language:JavaScript2 0
f-tonini/WAB-Image-Services-Widgets
WAB widgets specific to image services – WABIS
Language:JavaScript2 0