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Merge branch 'develop' into pbi-content-staging
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bhushankhope authored Oct 27, 2023
2 parents 0cc643e + b6dac22 commit f86c86e
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9 changes: 0 additions & 9 deletions .github/workflows/staging-build.yml
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Expand Up @@ -58,12 +58,3 @@ jobs:
publish_dir: website/dist/scimaps
publish_branch: staging
commit_message: "Staging deploy -- ${{ github.event.head_commit.message }}"

- uses: jsmrcaga/action-netlify-deploy@master
with:
NETLIFY_AUTH_TOKEN: ${{ secrets.NETLIFY_AUTH_TOKEN }}
NETLIFY_SITE_ID: ${{ secrets.NETLIFY_SITE_ID }}
NETLIFY_DEPLOY_MESSAGE: "Staging deploy to Netlify"
NETLIFY_DEPLOY_TO_PROD: true
build_command: false
build_directory: website/dist/scimaps
2 changes: 1 addition & 1 deletion admin/config.yml
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Expand Up @@ -627,7 +627,7 @@ backend:
## See https://www.netlifycms.org/docs/beta-features/#working-with-a-local-git-repository
## Basically run `npx netlify-cms-proxy-server` and launch the angular site

# local_backend: true
local_backend: true

i18n:
structure: single_file
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1 change: 0 additions & 1 deletion content/macroscope/19/4/readme.md
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Expand Up @@ -11,7 +11,6 @@ en:
data dimensions, finding boundaries, and decision trees by scrolling through
*A Visual Introduction to Machine Learning*.
Explore the interactive online at [http://www.r2d3.us/visual-intro-to-machine-learning-part-1](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/).
externalLink: http://www.r2d3.us/visual-intro-to-machine-learning-part-1
references:
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1 change: 0 additions & 1 deletion content/person/niko-mcglashan/readme.md
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Expand Up @@ -3,7 +3,6 @@ name: Niko McGlashan
last_name: McGlashan
roles:
- maker
location: '{"type":"Point","coordinates":[-74.9905188,40.1116066]}'
image: niko-mcglashan.png
---
Niko McGlashan holds a master of architecture degree from the University of Toronto and graduated with honors. Combined with his undergraduate education in environment and urban sustainability and geographic analysis, he yields a multidisciplinary and multiscalar approach to complex urban problems. Niko's research is heavily invested in computation, data, and design. He has performed extensive climate research at both the Center for Landscape Research at the University of Toronto and the Urban Water Research Center at Ryerson University. He has investigated the accumulation of contaminants in urban tributary networks, leveraged generative design to propose adaptive climate urbanism, and developed a software toolkit for designers to automate the LEED, WELL, and AIA sustainability standards during the architectural design process. At the Center, Niko researches urban equity and data capture, and he develops civic technology for the public, architects, and planners.
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