Docker is available

Singularity is available

Finding the right files

-- Scripts and data files are found in the following links: Hydroshare website and Github repository. .

Python version

-- You need Python version 2.7 to run all scripts -- To make sure if you have right version of Python on your machine type:

-python 

-- To find out if it is 32 or 64 bit type the following within the python environment:

-import platform
-platform.architecture()    

Modifying the script for processing street flood reports

The name of this file is "prepare_flood_events_table.py"

1. The data can be imported from the csv file, so we do not need the database. We can comment the following lines. #from db_scripts.main_db_script import data_dir, db_filename #con = sqlite3.connect(db_filename) #cds.to_sql(con=con, name="flood_events", if_exists="replace")

2. Change the file name to "STORM_data_flooded_streets_2010-2016.csv", which is the new file name on hydroshare.

3. We need to install pandas to run this script. To do this do the following:

   apt-get install -y python-pandas
   

Modifying the script for aggregating Norfolk, VA environmental data to daily time scale

1. Comment the following line "get_ipython().magic(u'matplotlib inline')"
2. Change the file path to db_filepath = "/Users/pinghou/Downloads/cybercarpentry2018/Project/hampt_rd_data.sqlite"

Data-driven model script for flood severity modeling in norfolk, VA

1. sudo apt-get install r-base
2. Rscript install.r a. install.packages("caret") b. install.packages("randomForest")

###link to the large data https://www.hydroshare.org/resource//hydroshareuserZone/home/localHydroProxy/9e1b23607ac240588ba50d6b5b9a49b5/data/contents/hampt_rd_data.sqlite

Link to the binder to run Jupiter Python Notebook, R script