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currently, census util is only providing the download of the data. Add the conversion of this downloaded data to dataset to util.
Create a conda build recipe
Create a method to conversted NSI dataset to database with automated manner.
create database and the database server for holding NSI
Create census viz utility. Currently, there are some visualization codes in census util. Refactor and modify then create a census viz utility class.
structural_cost_id = "63ff7b2b5c35c0353d5edeeb"
content_cost_id = "63ff7b04a36332563d497cff"
Create a release script for building documentation docker and push.
Create a unit test for pyincore-data github action
Currently the pyincore data's census data creation code make the data as shapefile. However, there are many fields that has the name more than 10 characters. Give another option to generate geopackage dataset so it doesn't loose the field title.
Create a general method for obtaining the census data for other pyincore analysis.
create a tool for conversting NSI dataset to incore building inventory. This should involve the injection of the new fields and conversion of values and so on.
@ywkim312 Could we have a quick discussion so I can know what functions and is there anything else I need to follow?
Ipyleaflet should be updated to higher than 0.16
Incore user Omar Sidek needs to know how to manipulate his data for the analyses. Meet with him and help the data manipulation process
Investigate to see if pyincore-data has anything to do with incore services and incore client
Related to IN-CORE/pyincore#451
The github action for pytest is broken. Fix it.
rename master branch to main.
Converting and revising README.md to README.rst in order to publish the package to pypi
Update the conda library dependency to fit with pyincore and pyincore-viz
Create a method or endpoint that serves the NSI dataset.
Merge master branch to develop branch
Documentation docker container building process has an error due to the sphinx update. Fix this.
Create a github action for automatic docker build for docs container and push it
The NSI data should be adjusted to fit into INCORE building inventory schema.
There are several fields are missing in NSI dataset and some fields have different field name from incore building inventory schema.
Analysis the NSI attribute table and find out how to modify the attribute table.
Please use the attached shapefile to check the NSI attribute. If there is any missing
The metadata for the fields are in here
https://www.hec.usace.army.mil/confluence/nsi/technicalreferences/latest/technical-documentation
Hardwired Census API parameters are get_vars = 'GEO_ID,NAME,P005001,P005003,P005004,P005010' and for=block%20group:.
For Galveston analysis we also need get=GEO_ID,NAME,B25002_001E,B25002_001M,B25004_006E,B25004_006M and for=tract:. The best way is to create a class parameters for get
and for
.
create pyincore-data release 0.4.0
Create a pyincore-data release 0.3.0
Currently, the setup.py in pyincore-data's naming for pypi is automatically normalizing the naming based on pep 440 but this is sometimes not beneficial for the naming convention, such as releasing the rc version. Modify setup to allow the legacy naming of the pakcage.
Fix documentation docker that doesn't have a content
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