This blog post demonstrates how to plot FLEXPART model trajectories on a 3D terrain map, integrating topography and transport data for enhanced visualization. The workflow includes:
我一直想对茶叶中复杂的化学成分充满兴趣。实验室有同事需要测量生物气溶胶样品（如孢子、真菌等），借助这次协助其调试维护质谱仪器的机会，开展了一项课外探索：使用高分辨率质谱方法，探索不同类型茶叶在分子层面是否具有可辨识的特征。
本次尝试使用非靶向直接注入分析，结合Orbitrap与TOF两台质谱，评估我构建的分析流程在实际复杂样品中的表现。
Linear regression is a fundamental method in data analysis to understand the relationship between two variables. Here, I summarize four reusable Python functions for performing and visualizing linear fitting:
All methods:
In this tutorial, I will demonstrate how to create a simple, interactive web app that visualizes correlations between variables. We will also walk you through the necessary environment setup and deployment steps.
In this post, I document the full procedure for turning a personal Python project into a public package, available on both GitHub and the Python Package Index (PyPI).
As a demonstration, I create a small package named PalAniSh (Palette of Animation of Shanghai), which extracts and displays color palettes from classical Chinese animations produced by the Shanghai Animation Film Studio.
Geojson provides several advantages compared to shapefiles:
lightweight, text-based, and easily readable format that can be easily shared, transmitted and used on the web.
It supports a wider range of data types compared to shapefile and can be used across multiple platforms and programming languages.
Additionally, geojson files have smaller file sizes, making them easier to store and process. These benefits make geojson a popular choice for geographic information data storage and exchange.
本文持续更新个人网络搜集的各类数据集，包括中国/世界行政区划、自然地理、气象水文、空气质量及社会经济数据等。
The National Oceanic and Atmospheric Administration (NOAA) Integrated Surface Database (ISD) provides one of the richest sources of historical weather data consisting of hourly and synpoptic observation. This blog will introuce the simple way to retrieve and process the raw data into Python dataframe.
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