l5d1l5 Goto Github PK
Type: User
Company: Peking University
Location: Beijing
Type: User
Company: Peking University
Location: Beijing
Data and code of Bauer et al. (2018) Riv Res Appl
Hector investigation for optimizing parameters related to better fitting AR6 RF.
Code and materials used to test and validate Hector v3 new radiative forcing implementation
Materials used to prepare the materials for the FoRTE AGU talk.
Website for Data Science Lab 2021 Fall
Data and code of Bauer et al. (submitted)
Viennese Forest Growth Models
agent_based_model
An agent-based model of landscape change that uses a rational, long-term decision optimization strategy to simulate aggregate land owner decisions in a target geography (typically at the scale of a US county).
Source of my website (marco-mina.com) created with academic-hugo theme and Rblogdown
aDGVM1 with with CCAM downscaled GCM daily input data
Advanced Raster Analysis assignment from TeamTropical
The problem I attempt solve in this repository is how to identify which U.S. counties belong to each Agro-ecological Zone.
Advances in rapid, low cost analysis of soil samples using infrared spectroscopy, georeferencing of soil samples, and greater availability of earth remote sensing data provide new opportunities for predicting soil functional properties at unsampled locations. Soil functional properties are those properties related to a soil’s capacity to support essential ecosystem services such as primary productivity, nutrient and water retention, and resistance to soil erosion. Digital mapping of soil functional properties, especially in data sparse regions such as Africa, is important for planning sustainable agricultural intensification and natural resources management.
Ag_EcoSOpt is an open-source software-based decision-support tool that incorporates the concepts of ecosystem modelling, ecosystem services tradeoffs, economic valuation and optimization, and land management and land use change decision making in agricultural production systems. It has two main components with several attached modules. The ecological qualification component is used to quantify changes in ecosystem functions (e.g. greenhouse gas emissions, soil organic matter, water loss, nitrogen leaching, crop yield, and crop residue) in response to changes in human decision making on land management practices or land uses. It integrates two core models: (1) DAYCENT, a biogeochemical model created by the Natural Resources and Ecology Laboratory at Colorado State University; and (2) The Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation Model (GREET) created by Argonne National Laboratory. The optimization component includes a spreadsheet-based module or standalone MATLAB application for farm-gate optimization or supply chain optimization of end use products (e.g. grain for cattle feed or biofuel, biomass for electricity or biofuel). Ag_EcoSOpt supports multilevel decision making for crop lands in the United States such as individual farms or landscape, user-defined time frames (1-50 years), and farm-gate or supply chain analysis.
Agricultural Ecosystems Service (AgES) spatial watershed model
A revisited symmetric index of agreement for continuous datasets.
A tool which calculates the revenue generated by a farmer given the size of land, amount of crops, and type of crops. The types of crops are optimized for a California Farmer. Our project fits into big data because it requires extensive knowledge of each plant in order to be useful.
These are some agricultural analyses I performed on Google Earth Engine.
Folder for agroserv project stuff
Using AIM data (TerrADat) and R, generate tables and figures for surface cover, gap cover, dominant species, and more. Categorize by zones, allotments, strata or ecological sites! "Final..." is a compilation of all sections except "Summary_Code" and "bench...". For videos of running the code visit https://www.youtube.com/channel/UCsq1npX-D5wrg1qGlAJdOJA
Assessing Inequality in Risk from Global Air Pollution
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.