adding chi environmental dataset

_data/chienv.csv

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+Variable,Description
+cid,Dataset identification code
+geoid,Full FIPS code
+tracte,6-digit tract FIPS code
+treesN,Total number of trees (represented as unique polygons) by tract. Derived from polygon data digitized as trees from Lidar raw sonar data, originally processed by the Spatial Analysis Laboratory, made available through the Regional Trees Initiative and U.S. Forest Service, and finally cleaned, processed, and aggregated to census tract scale by the Health Regions & Policies Lab. 
+treeCrDn,Percentage of total census tract area covered by tree polygons (with each polygon representing the tree crown, or maximum tree crown width). Derived from polygon data digitized as trees from Lidar raw sonar data, originally processed by the Spatial Analysis Laboratory, made available through the Regional Trees Initiative and U.S. Forest Service, and finally cleaned, processed, and aggregated to census tract scale by the Health Regions & Policies Lab. 
+svi,Social Vulnerability Index via CDC using 2018 ACS 5-year data.
+hardship,Economic Hardship Index, calculated using 2018 ACS 5-year data using standard approach using six components (unemployment, dependency, education, income, crowded housing, poverty) by Center for Spatial Data Science.
+floodSusc,Urban flood susceptibility index, via FEMA.
+heatIsl,Measure of land surface temperature to approximate the heat island effect. 1km grid raw data aggregated to census tract scale using average of grid values. Values close to 1 represent grid cells that have high summer temperatures relative to all other cells in the Chicago area; values closer to 0 represent lower values. Derived from mean Land Surface Temperature (LST) collected by NASA’s MODIS satellite (MOD11 dataset).
+logTraf,Logged traffic volume, using street segment volume from IDOT.
+pm25NN,Average PM 2.5 estimates during summer (Jun-Aug) from 2014-2018, calculated using a neural network model via Center for Spatial Data Science.
+asthmaAv,Number of Emergency Dept. asthma visits (age 0-18) between 2013-2018, calculated at the zip code and shared via the Chicago Health Atlas.
+asthmaAdj,Age adjusted rate of Emergency Dept. asthma visits (age 0-18) between 2013-2018, calculated at the zip code and shared via the Chicago Health Atlas.
+totPopE,total population, ACS 2018 5-year estimate via OEPS
+whiteP,Percentage of population with race identified as white alone
+blackP,Percentage of population with race identified as Black or African American alone
+amIndP,Percentage of population with race identified as Native American or Alaska Native alone
+asianP,Percentage of population with race identified as Asian alone
+hispP,Percentage of population with ethnicity identified as of Hispanic or Latinx origin
+otherP,Percentage of population with race not mentioned in any of the options above (includes two race or more races)
+childrnP,Percentage of population under the age of 18.
+over65P,Percentage of population over the age of 65.
+zip_code,intersecting Zip Code area
+commarea_n,Community Area Number	
+community,Community Area Name

_data/columbus-template.csv

@@ -2,7 +2,7 @@ Variable,Description
 AREA,neighborhood area (computed by ArcView)
 PERIMETER,neighborhood perimeter (computed by ArcView)
 COLUMBUS_,internal polygon ID (generated by ArcView)
-COLUMBUS_I,internal polygon ID (geneated by ArcView)
+COLUMBUS_I,internal polygon ID (generated by ArcView)
 POLYID,"neighborhood ID, used in GeoDa User’s Guide and tutorials"
 NEIG,"neighborhood ID, used in Spatial Econometrics examples"
 HOVAL,"housing value (in $1,000)"

_posts/2021-11-17-chicago-environment.md

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+---
+layout: dataset             # don't change this
+name: "chienv"               # one-word reference name for dataset, all lowercase and underscores, e.g. "columbus"
+title: "Chicago Environmental Data"              # title of dataset, e.g "Columbus Crime 1980"
+introduction: "Environmental data for census tracts in Chicago, Illinois."       # one-sentence description of dataset, e.g. "Crime and neighborhood data for 49 neighborhoods in Columbus, OH, 1980."
+description: "Standardized environmental data at the census tract scale including tree canopy characteristics, surface temperature, logged traffic volume, urban flood susceptibility, social vulnerability, hardship, modeled fine particulate matter estimates, and more in Chicago, IL around 2018 (data ranges from 2010-2018). See details of data methodology at https://chicago-env-explorer.netlify.app."        # multiple-sentence description of dataset, e.g. "Crime, housing and income data for 49 neighborhoods in Columbus, OH, 1980. Textbook example."
+download_link: "../data/chienv.zip"      # URL of link to download dataset, e.g. "../data/columbus.zip"
+
+observations: 801         # a number, e.g. 49; a boxed, comma-separated list if multiple datasets, e.g. [49, 100]
+variables: 24            # a number, e.g. 20; a boxed, comma-separated list if multiple datasets, e.g. [20, 25]
+start_date: 2018-01-01           # date in yyyy/mm/dd of start of data, e.g. 1980-01-01
+end_date: 2018-01-01             # date in yyyy/mm/dd of end of data, e.g. 1980-01-01, same as above if single period
+spatial_structure: "Polygon"  # most often, "Point" or "Polygon"
+spatial_unit: "census tract"       # short description of the smallest spatial unit, e.g. "City neighborhood", "Census block", "House sale"
+
+source: ["Healthy Regions & Policies Lab, 2021"]           # boxed, comma-separated list of citation(s) of publication(s) from which this dataset originates, e.g. ["Anselin, Luc (1988). Spatial Econometrics. Boston, Kluwer Academic, Table 12.1, p. 189.", ""]
+reference: ["Open Chicago Environment Explorer, https://chicago-env-explorer.netlify.app/"]        # boxed, comma-separated list of citations(s) of publication(s) that reference this dataset
+
+csv_name: "FIXME"           # the name of the csv with the data dictionary (without the .csv extension), e.g. "columbus"; this csv is stored in the _data folder
+prepared_by: "CSDS, Marynia Kolak"        # the name of the person or organization who prepared the data, e.g. "CSDS", "Luc Anselin"
+updated: 2021-11-18              # date in yyyy/mm/dd of last updated date, e.g. 2003-06-16
+license: "Data provided “as is,” no warranties"            # license/disclaimers for the data, e.g. "Data provided “as is,” no warranties."
+
+used_in: ["City of Chicago's Tree Equity Tool, Open Chicago Environment Explorer, https://chicago-env-explorer.netlify.app/"]          # boxed, comma-separated list of CSDS resources using this dataset, e.g. ["GeoDa Sample Data", "Introduction to Spatial Data Science labs"]
+use_case: "FIXME"           # short description of use case for dataset, e.g. "Spatial hedonic regression"
+main-class: "environment"         # Main tag for dataset, e.g. "crime". Will show up on website under this category
+tags: ["trees", "air quality"]    # Secondary tags for data, including the main tag, e.g. ["crime", "polygons", "<500", "smaller areas", "ESDA", "textbook"].
+---
+
+{% comment %}
+Please do not edit any of the following code, which creates a templated dataset
+documentation webpage from the above information block. You should change only 
+the parts that are labeled FIXME.
+{% endcomment %}
+
+<span class="download">[DOWNLOAD DATA]({{ page.download_link }})</span>
+
+<p class="description">{{ page.description }}</p>
+
+* Observations = <span class="observations">{{ page.observations }}</span>
+
+* Variables = <span class="variables">{{ page.variables }}</span>
+
+{% if page.start_date == page.end_date %}
+* Date = <span class="start_date">{{ page.start_date }} </span>
+{% elsif page.start_date != page.end_date %}
+* Date Range = <span class="start_date">{{ page.start_date }}</span> to <span class="end_date">{{ page.end_date }}</span>
+{% endif %}
+
+{% if page.source %}
+**Source**
+<p class="source">{{ page.source }}</p>
+{% endif %}
+
+{% if page.reference %}
+**Reference**
+<p class="reference">{{ page.reference }}</p>
+{% endif %}
+
+<table class="datadict">
+  <thead>
+    <tr>
+      <th style="text-align: left">Variable</th>
+      <th style="text-align: left">Description</th>
+    </tr>
+  </thead>
+  <tbody>
+{% for var in site.data[page.csv_name] %}
+    <tr>
+      <td class="var" style="text-align: left">{{ var.Variable }}</td>
+      <td class ="desc" style="text-align: left">{{ var.Description }}</td>
+    </tr>
+{% endfor %}
+  </tbody>
+</table>
+
+Prepared by <span class="prepared">{{ page.prepared_by }}</span>. Last updated <span class="updated">{{ page.updated }}</span>. <span class="license">{{ page.license }}</span>