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科技爱好者周刊(第 299 期):AI 的关键是语料 - 阮一峰的网络日志

模型不是关键,语料才是关键。

介绍 | SuperTechFans

Model

Model Portal — ISMC | 土壤模型汇总

Description - Finnish Meteorological Institute | 土壤碳模型,用于森林

Carbon and decomposition model Yasso for forest soils - ScienceDirect

Improving forest soil carbon models using spatial data and geostatistical approaches - ScienceDirect

GMD - Calibrating the soil organic carbon model Yasso20 with multiple datasets

BG - Modeling soil organic carbon dynamics in temperate forests with Yasso07

R: Implementation of the Yasso07 model

抚育对林地土壤碳释放的影响——基于Yasso07估算

Global Ecology Lab - - ED | 有土壤碳部分

Global Ecology Lab -

High-resolution forest carbon modelling for climate mitigation planning over the RGGI region, USA - IOPscience

SoilGen | 土壤发育模型

Modelling Soil Development Under Global Change | SpringerLink

GMD - Sensitivity analysis and calibration of a soil carbon model (SoilGen2) in two contrasting loess forest soils

ecaas/MIMICSplus: This repo contains a model that simulates the decomposition of soil, and keep track of the carbon | 土壤碳模型,用于森林

GMD - Modeling boreal forest soil dynamics with the microbially explicit soil model MIMICS+ (v1.0)

Carbon Budget Model

Carbon Budget Model

libcbm — libcbm documentation

cat-cfs/libcbm_py: Carbon budget model library based on CBM-CFS3

Scott Morken | Portfolio of past work

Home | ST-Sim CBM-CFS3 | ApexRMS

CBM-CFS3 wrapping · GitLab

CUG-Flood/ChinaFlood_Monitor: 中国洪涝监测, a shiny web page

DataSet

MODIS Web | GPP\NPP

MODIS Web | NDVI\EVI

High-spatial-resolution monthly temperatures dataset over China during 1901–2017 | 中国1km分辨率逐月平均气温数据集(1901-2022)

High-spatial-resolution monthly precipitation dataset over China during 1901–2017 | 中国1km分辨率逐月降水量数据集(1901-2022)

文档

R Spatial Workshop Notes

Tutorials - Learn Spatial Analysis | Center for Spatial Data Science

Spatial Epi in R | Spatial epidemiology in R

A Crash Course in Geographic Information Systems (GIS) using R

Spatial Data Science with R — R Spatial

Geospatial Technology and Spatial Analysis in R

R for Spatial Scientists

Welcome | Spatial Statistics for Data Science: Theory and Practice with R

Home — Geographic Data Science with Python

Clustering and Regionalization — Geographic Data Science with Python | 空间聚类

YAML 语言教程 - 阮一峰的网络日志

卡尔曼滤波教程

南京大学 计算机科学与技术系 计算机系统基础 课程实验 2024

Welcome | R for Data Science

庄闪闪的可视化手册

文章(R-bloggers)

Spatial Clustering With Equal Sizes | R-bloggers

Clustering similar spatial patterns | R-bloggers

k-Means 101: An introductory guide to k-Means clustering in R | R-bloggers

文章(知乎)

现在模拟退火算法、粒子群优化算法、遗传算法和蚁群优化算法现在用的还多吗? - 知乎

文章(CSDN)

GEE12:按年和月合成数据,分别获取年总和月均GPP遥感数据_gpp逐月数据-CSDN博客

GEE开发之Modis_NDVI数据分析获取大总结_如何获得年均的ndvi-CSDN博客

文章(Hexbin)

Hexbin chart in R | R CHARTS

Hexbin map for 2D density visualization – the R Graph Gallery

为何选择六边形?—ArcGIS Pro | 文档

HexMap学习笔记(一)——创建六边形网格 - 知乎

GEE学习笔记 九十八:使用QGIS生成指定的网格数据 - 知乎

组织机构

Satija Lab

Tools for Single Cell Genomics • Seurat

个人主页

Zaiwen Wen

最优化:建模、算法与理论/最优化计算方法

会议(Sec)

CTF4G - CTF for GIRLS

Black Hat | Home

DEF CON® Hacking Conference Home

DEF CON 30 CHINA PARTY

博客(独立)

GIS&RS 学习站

Paul’s Workbench | 森林经理方向

Shixiang Wang | 王诗翔

杰哥的知识库

组装一台采用龙芯 3A6000 CPU 的主机 - 杰哥的{运维,编程,调板子}小笔记

软件

Free Pascal - Advanced open source Pascal compiler for Pascal and Object Pascal - Home Page

Plot Digitizer download | SourceForge.net

Soil organic carbon storage in forest restoration models and environmental conditions | Journal of Forestry Research | 森林恢复模型及环境条件下的土壤有机碳储量

空间聚类相关

R port of redcap • spatialcluster

mpadge/spatialcluster: spatially-constrained clustering in R

Introduction to ClustGeo

GeoDa on Github

pygeoda 0.0.8 — pygeoda 0.0.8 documentation

6 Spatial Clustering — pygeoda 0.0.8 documentation | 空间聚类

Spatial Dependence: Weighting Schemes, Statistics • spdep | 空间自相关?

Spatially constrained clustering | 一段空间聚类脚本

聚类相关

src-d/kmcuda: Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

serban/kmeans: A CUDA implementation of the k-means clustering algorithm

其他

地学系硕士生杨昊禹在《Geoscientific Model Development》发文-清华大学地球系统科学系

Geoscientific Model Development 影响因子5.100分

博士生秦怡等在Wiley旗下期刊《JAMES》发文-清华大学地球系统科学系

Journal of Advances in Modeling Earth Systems 影响因子6.800分