Git Product home page Git Product logo

map_amendments's Introduction

About this dataset

This is combined from 2018 hennepin county parcel data, and tables precent in the accidentally released #mpls2040 map amendments PDF. Data was liberated from the PDF using camelot-py, and combined with assessor records using ogr2ogr. For a description of county parcel columns, see that dataset. Map amendment columns are as follows:

  • recommend - Recommended land use / built form in the pre-council markup.
  • amended - Amended in released data
  • address - address according to released data.
  • ward - Minneapolis ward

Releases

Note, everything but the CSV format contains spatial data.

Compiling it yourself

If the PDF is updated, you probably want to build it yourself. Check out the files in in/, make any replacements (keep the same structure-- chop off the maps and keep the tables, make sure the text is machine readable like the first version).

You'll need python2.7, and virtualenv, and node/npm. Theoretically running the following should configure a virtualenvironment with the python packages and node packages necessary to build. The main one for PDF magic is camelot-py, so if that breaks, welp...

Download the county dataset and put it here:

in/hennepin_county_parcels.zip

Set up the environment with:

make init
make env

Build the output zip with:

make all

NB: Camelot will probably take ~10 minutes to process all the pages.

map_amendments's People

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.