update readme

README.md

@@ -1,17 +1,22 @@
 # Scaling Behavior for Electric Vehicle Chargers and Road Map to Addressing the Infrastructure Gap
 
-[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/BattModels/evse-scaling-behavior/blob/main/PredictionMap.ipynb)
-[![DOI](https://img.shields.io/badge/DOI-10.5281%2Fzenodo.5784659-blue)](https://doi.org/10.5281/zenodo.5784659)
+![Paper](https://img.shields.io/badge/Paper-10.1093%2Fpnasnexus%2Fpgad341-purple)
+[![Dataset](https://img.shields.io/badge/Data-10.5281%2Fzenodo.5784659-blue)](https://doi.org/10.5281/zenodo.5784659)
 ![GitHub](https://img.shields.io/github/license/BattModels/evse-scaling-behavior)
 
-Source code and [interactive demo](https://colab.research.google.com/github/BattModels/evse-scaling-behavior/blob/main/PredictionMap.ipynb) for _Scaling Behavior for Electric Vehicle Chargers and Road Map to Addressing the Infrastructure Gap_.
+<p align="center">
+    <a href="https://battmodels.github.io/evse-scaling-behavior/map.html">
+        <img src="docs/assets/ev_pop_residuals.svg" width="60%">
+    </a>
+</p>
 
+Source code and [interactive demo](https://battmodels.github.io/evse-scaling-behavior/map.html) for [_Scaling Behavior for Electric Vehicle Chargers and Road Map to Addressing the Infrastructure Gap_](https://doi.org/10.1093/pnasnexus/pgad341).
 
 ## Getting the Data
 
 The processed dataset, as used in the paper for model fitting, is available at
-[data/dataset.csv](data/dataset.csv). The source datasets, as documented in the supporting
-information, were collected from the following sources:
+[data/dataset.csv](data/dataset.csv). The source datasets, as documented in the [supporting
+information](https://academic.oup.com/pnasnexus/article-lookup/doi/10.1093/pnasnexus/pgad341#supplementary-data), were collected from the following sources:
 
 | Source | Relevant Files | Source |
 |--------|----------------|--------|
@@ -24,15 +29,15 @@ information, were collected from the following sources:
 > More precise references, particularly for US Census data, are available in the
 > supporting information.
 
-Script for processing the various raw source dataset have also been provided.
+Script for processing the various raw source datasets have also been provided.
 Please note that this remains a largely manual process. For example, the PA
 passenger vehicle registration reports were manually transcribed from the
 source pdf. Further,
 the data extraction scripts, particularly for state registration data, are highly
 sensitive to data inputs, and their outputs should be manually verified.
 
 - State Registrations:
-    - State-By-State Preprocessing: See the `parse*` scripts located in State's folder.
+    - State-By-State Preprocessing: See the `parse*` scripts located in the State's folder.
     - Collating States: `data/state_registration/extract_passenger_vehicles.py`
 - EV Registrations
     - Makefile for fetching new results: `data/ev_registration/makefile`
@@ -46,7 +51,7 @@ sensitive to data inputs, and their outputs should be manually verified.
 ## Unprocessed Data
 
 Due to size constraints, this repository does not provide the unprocessed data files
-used to develop our dataset. It can be found at: https://doi.org/10.5281/zenodo.5784659
+used to develop our dataset. It can be found at: <https://doi.org/10.5281/zenodo.5784659>
 
 ## Replicating the Analysis
 
@@ -100,5 +105,3 @@ to the `img-docker/` directory on the host machine.
 ### Building the Container
 
 The docker image can be built using: `docker build -t evse-scaling:latest .`
-
-