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KNIMIE-GEE-G2SFCA-Accessibility

Workflow for the following paper:

Elevating the RRE framework for Geospatial Analysis with Visual Programming Platforms: An Exploration with Geospatial Analytics Extension for KNIME

Lingbo Liu , Fahui Wang*,Xiaokang Fu, Tobias Koetter ,Kevin Sturm, Weihe Wendy Guan, Shuming Bao

A specific use case was introduced to demonstrate the practical application of the Geospatial Analytics Extension for KNIME, aiming to validate its efficacy through textbook replication and a focused study on spatial accessibility.

Anchored in the RRE framework, we present a case study detailing spatial accessibility to hospitals within East Baton Rouge Parish (Baton Rouge). The study evaluates access for residents across varying census block groups to five acute hospitals. Data pinpointing the location and bed capacity of these hospitals is sourced from the Louisiana Hospital Association's 2021 directory. Supplementary data concerning census block groups, including population demographics and road networks in EBRP, is informed by the 2020 Census.

KNIME workflow for G2SFCA based on an RRE framework-1

1 Reading Data

2 Travel Cost

3 Join & Standardize

4 Reconciled 2SFCA

5 Accessibility Score

6 Land Surface Tempreture

7 Visualization & Analysis

Google Authenticator
Supply data
GeoFile Reader
OSRM Distance Matrix
Decay Function
Feature Collection Reducer
G2SFCA Score
Top k Row Filter
Best Function Plot
Joiner
Table Row to Variable
Demand data
GeoFile Reader
Accessiblity
Geospatial View
Project ID
Google Earth Engine Connector
Projection
Math Formula
Feature Collection to Table
Rule Engine
Geometry To Point
Joiner
Heat Exposure
Geospatial View
Compound Analysis
Geospatial View
ST_B10
GEE Image Band Selector
GeoTable to Feature Collection
Mean
Image Collection Aggregator
Cloud Cover <10%
Image Collection General Filter
Standardization
Attach Population
Joiner
LANDSAT/LC09/C02/T1_L2
Image Collection Reader
Attatch Bedsize
Joiner
Image Collection Spatial Filter

Nodes

Extensions

Links