-Dveloped by: Mo Koneshloo for HFB- -Contact: mkoneshloo-at-gmail-dot-com-

MapTX

This repository contains the code and some example data to generate a map visualization of data. It can be used to visualize any quantitive variable as a series of polygon on map. To this aim two components are requiered:

1-Appropriate file of the geometry: a GeoJson file continin a GEOID key (it can be zip code, county subdivision code, county code, ....) 2- Dataset with the mesured value on each polygone and the same GEOID key

bokeh_mapper.py

This script reads these two file, preprocess and merge them to generate Bokeh's input. Bokeh provoides a set of flexible tools to interact with visulized map, which is generated as an HTML file by the code. All setings come from a json file, explined in the next section. The only parameter of the code is the address to this json file. It is hardcoded for now.

Parameters:

At this step, code reads the parameter from a json file, described below. The list of parameter consists of several parts; input, visual, and output parameters

Input Parmeters:

• Source to read polygons' boundry "shapeFile":"../data/TractPolygon.geojson",
• source to read file from an Url address: "shapeUrl":"None",
• Source to read data set, in the future version these can be replaced with result of a SQL query "dataFile":"../data/TractData.csv",
• Subset fields of the geometry file to reduce the file volume/remove unnecessery data, dict format "shapeFields":{ "s1":"GEOID", "s2":"geometry" },
• Link key from geometry file "shapeKey":"GEOID",
• Subset fields of the dataset to reduce the file volume/remove unnecessery data, dict format "dataFields":{ "d1":"County", "d2":"GEOID", "d3":"Area", "d4":"Population" },
• Link key from geometry file "dataKey":"GEOID",
• Main parameter to be used as color scale "data2Viz":"Population",

Visual setting

• Proper presentation of variable name on map "dataName2Vize":"Census estimated population",
• Colormap "cMapName": "YlGnBu",
• Number of color (not in use yet) "cNumber" : "32",
• Using reversed color pallet "reversedColorMap" : "False",
• Map title "figTitle" : "Census Data Map",
• TipTools shows the GEOID and main parameter when you hover on each polygon, you can add a theird one, by adding Field name (starting by @), and its title to show in tiptoll "tipTitle": "Area", "tipName": "@Area",

Output

"htmlOut": "../data/TractOut.html", }