GeoVizHub

所属分类:GIS/地图编程
开发工具:Jupyter Notebook
文件大小:0KB
下载次数:0
上传日期:2023-10-26 18:12:13
上 传 者sh-1993
说明:  “使用Python和R进行创新地理空间数据可视化的中心。在交互中探索、分析和可视化地理数据...,
("A hub for innovative geospatial data visualizations using Python and R. Explore, analyze, and visualize geographical data in an interactive and intuitive manner.")

文件列表:
AerosolOdyssey/ (0, 2023-11-30)
AerosolOdyssey/AerosolOdyssey.ipynb (17809, 2023-11-30)
GiessenRoads/ (0, 2023-11-30)
GiessenRoads/Code/ (0, 2023-11-30)
GiessenRoads/Code/Code.Rproj (218, 2023-11-30)
GiessenRoads/Code/GiessenRoads.R (3660, 2023-11-30)
GiessenRoads/Code/Giessen_Roads.png (4639542, 2023-11-30)
HelianthusHabitats/ (0, 2023-11-30)
HelianthusHabitats/Code/ (0, 2023-11-30)
HelianthusHabitats/Code/HelianthusHabitats.R (8745, 2023-11-30)
HelianthusHabitats/Code/Sunflower_occurrence_north_america.rds (123178, 2023-11-30)
HelianthusHabitats/Datasets/ (0, 2023-11-30)
HelianthusHabitats/Datasets/NA_CEC_Eco_Level3/ (0, 2023-11-30)
HelianthusHabitats/Datasets/NA_CEC_Eco_Level3/NA_CEC_Eco_Level3.dbf (1972538, 2023-11-30)
HelianthusHabitats/Datasets/NA_CEC_Eco_Level3/NA_CEC_Eco_Level3.prj (409, 2023-11-30)
HelianthusHabitats/Datasets/NA_CEC_Eco_Level3/NA_CEC_Eco_Level3.sbn (25844, 2023-11-30)
HelianthusHabitats/Datasets/NA_CEC_Eco_Level3/NA_CEC_Eco_Level3.sbx (1716, 2023-11-30)
HelianthusHabitats/Datasets/NA_CEC_Eco_Level3/NA_CEC_Eco_Level3.shp (53213564, 2023-11-30)
HelianthusHabitats/Datasets/NA_CEC_Eco_Level3/NA_CEC_Eco_Level3.shp.xml (14215, 2023-11-30)
HelianthusHabitats/Datasets/NA_CEC_Eco_Level3/NA_CEC_Eco_Level3.shx (20484, 2023-11-30)
HelianthusHabitats/HelianthusHabitats.Rproj (205, 2023-11-30)
HelianthusHabitats/sunflower_distribution.png (1392037, 2023-11-30)
IndiaTrilingual/ (0, 2023-11-30)
IndiaTrilingual/Code/ (0, 2023-11-30)
IndiaTrilingual/Code/IndiaTrilingual.R (14559, 2023-11-30)
IndiaTrilingual/Datasets/ (0, 2023-11-30)
IndiaTrilingual/Datasets/CSVs/ (0, 2023-11-30)
IndiaTrilingual/Datasets/CSVs/Population.xlsx (2235660, 2023-11-30)
IndiaTrilingual/Datasets/CSVs/Trilingual.xlsx (79610, 2023-11-30)
IndiaTrilingual/Datasets/States/ (0, 2023-11-30)
IndiaTrilingual/Datasets/States/Admin2.cpg (5, 2023-11-30)
IndiaTrilingual/Datasets/States/Admin2.dbf (1902, 2023-11-30)
IndiaTrilingual/Datasets/States/Admin2.prj (145, 2023-11-30)
IndiaTrilingual/Datasets/States/Admin2.shp (17142832, 2023-11-30)
IndiaTrilingual/Datasets/States/Admin2.shx (388, 2023-11-30)
IndiaTrilingual/IndiaTrilingual.Rproj (218, 2023-11-30)
IndiaTrilingual/India_bilingual.png (989833, 2023-11-30)
... ...

# GeoVizHub: Geospatial Data Visualization Repository ## Description GeoVizHub is a project aimed at creating, sharing, and exploring interactive geospatial data visualizations. ### Projects **1) Aerosol Odyssey** : AerosolOdyssey is a fascinating journey through the absorbing aerosol index variations in New Delhi from November 2018 to August 2023. This project sheds light on the atmospheric aerosol dynamics over this period, offering a visual exploration of data to understand the environmental impacts and trends. Using interactive geospatial data visualizations, AerosolOdyssey provides a unique lens to observe and analyze aerosol concentrations and their temporal variations in New Delhi's atmosphere. The Absorbing Aerosol Index (AAI) data was sourced from European Union/ESA/Copernicus dataset stored within the Google Earth Engine data (COPERNICUS/S5P/NRTI/L3_AER_AI) catalogue and the shapefile for Delhi boundaries was sourced from Data Meet India community (https://datameet.org/) (CC BY 4.0) **Notebook**: https://colab.research.google.com/drive/1fsz7WXssiJA0LOrs72dKjkMR12c5ncqq#scrollTo=K8NioTo1vyxi **2) Sundarban Shifts** : This project monitors vegetation changes in the Sundarbans Mangroves across Bangladesh and India, leveraging the MODIS MOD13A2 dataset. Aimed at understanding the ecological dynamics in the face of climate change, sea-level rise, and human activities, it analyses the Normalized Difference Vegetation Index (NDVI) to gauge vegetation health over time. Employing Python libraries for data visualization, the project presents an interactive geographical depiction of NDVI variations, encapsulating the essence of this unique ecosystem and the imperative of informed conservation strategies. Citation: MODIS/006/MOD13A2: Kamel Didan - University of Arizona, Alfredo Huete - University of Technology Sydney and MODAPS SIPS - NASA. (2015). MOD13A2 MODIS/Terra Vegetation Indices 16-Day L3 Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MOD13A2.006. **Notebook**: https://colab.research.google.com/drive/1gdWtmI1pc-Ed83NPkCXm1icVP-U0yjt8 ### License This project is licensed under the MIT License - see the [LICENSE](https://github.com/SamMajumder/GeoVizHub/blob/master/LICENSE) file for details. ### Contact and Feedback Sambadi Majumder,PhD sambadimajumder@gmail.com

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