Version DOI Comment Publication Date
1 10.13012/B2IDB-0286574_V1 2021-02-18
Spatial_interpolation.ipynb 907 KB File
Urban_Informatics.ipynb 1.75 MB File
chicago-complete.weekly.2019-09-30-to-2019-10-06.tar 241 MB File
sensors.csv 1.28 KB File

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update: {"corresponding_creator_name"=>["Lyu Fangzheng", "Shaowen Wang"], "corresponding_creator_email"=>["flu8@illinois.edu", "shaowen@illinois.edu"]} 2021-03-02T19:19:51Z
update: {"title"=>["Urban Sensing Analysis on CyberGISX Platform", "Data for Integrating CyberGIS and Urban Sensing for Reproducible Streaming Analytics"], "description"=>["This is the notebook and data for using CyberGISX to conduct analysis using Array of Things (AoT) data in the Chicago area. The first notebook illustrates the spatial interpolation of temperature in the Chicago area using the dataset. And the second notebook helps to explore the dataset.", "This is the notebook and data for using CyberGISX to conduct analysis using Array of Things (AoT) data in the Chicago area. The notebook Spatial_interpolation.ipynb illustrates the spatial interpolation of temperature in the Chicago area using the dataset. And the notebook Urban_Informatics.ipynb helps to explore the dataset. The files included in this dataset functions as follows: 1) Spatial_interpolation.ipynb is a python based Jupyter notebook that enables users to conduct spatial interpolation with AoT data; 2) Urban_Informatics.ipynb is a Jupyter notebook that helps to explore the AoT dataset; 3) chicago-complete.weekly.2019-09-30-to-2019-10-06.tar includes all the high-frequency urban sensing data from AoT sensors from 2019 September 30th to 2019 October 6th collected in Chicago, US; 4) sensors.csv is a processed dataset including information about the temperature in Chicago, and it is used in Spatial_interpolation.ipynb. "]} 2021-02-23T00:58:11Z