Merge pull request #419 from ualsg/update

CGF STAR paper

content/authors/mahmoud/_index.md

@@ -21,7 +21,7 @@ organizations:
   url: ""
 
 # Short bio (displayed in user profile at end of posts)
-bio: ""
+bio: []
 
 interests:
 - Data science

content/authors/matias/_index.md

@@ -21,7 +21,7 @@ organizations:
   url: "https://fcl.ethz.ch/"
 
 # Short bio (displayed in user profile at end of posts)
-# bio: ""
+bio: []
 
 interests:
 - Remote sensing

content/post/2024-05-tfsc-dt-maturity/index.md

@@ -67,5 +67,4 @@ BibTeX citation:
   volume = {204},
   year = {2024}
 }
-
 ```

content/post/2024-06-cgf-star-3dviz/index.md

@@ -0,0 +1,67 @@
+---
+# Documentation: https://sourcethemes.com/academic/docs/managing-content/
+title: "New paper: The State of the Art in Visual Analytics for 3D Urban Data"
+subtitle: "Computer Graphics Forum publishes our collaborative paper that characterizes published works along three main dimensions."
+summary: "Computer Graphics Forum publishes our collaborative paper that characterizes published works along three main dimensions."
+authors: [admin]
+tags: [paper, review, 3d visualisation, 3d gis, computer graphics]
+categories: []
+date: 2024-06-15T09:44:34+08:00
+lastmod: 2024-06-15T09:44:34+08:00
+featured: false
+draft: false
+show_related: true
+pager: true
+
+# Featured image
+# To use, add an image named `featured.jpg/png` to your page's folder.
+# Focal points: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight.
+image:
+  caption: ""
+  focal_point: ""
+  preview_only: false
+
+# Projects (optional).
+#   Associate this post with one or more of your projects.
+#   Simply enter your project's folder or file name without extension.
+#   E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`.
+#   Otherwise, set `projects = []`.
+
+---
+
+We are glad to share a new collaborative paper:
+
+> Miranda F, Ortner T, Moreira G, Hosseini M, Vuckovic M, Biljecki F, Silva CT, Lage M, Ferreira N (2024): The State of the Art in Visual Analytics for 3D Urban Data. _Computer Graphics Forum_ 43(3): e15112. [<i class="ai ai-doi-square ai"></i> 10.1111/cgf.15112](https://doi.org/10.1111/cgf.15112) [<i class="far fa-file-pdf"></i> PDF](/publication/2024-cgf-star-3-dviz/2024-cgf-star-3-dviz.pdf)</i> <i class="ai ai-open-access-square ai"></i>
+
+This research was led by [Fabio Miranda](https://fmiranda.me) from the Department of Computer Science at the University of Illinois Chicago.
+It was conducted in collaboration with academics from other institutions in the USA, Austria, and Brazil: MIT, VRVis, NYU, UFF, and UFPE.
+
+The paper is [available open access](https://doi.org/10.1111/cgf.15112).
+
+![](1.jpg "Example of papers from each one of the types considered in the survey. For the sources, please check the paper.")
+
+### Abstract
+
+> Urbanization has amplified the importance of three-dimensional structures in urban environments for a wide range of phenomena that are of significant interest to diverse stakeholders. With the growing availability of 3D urban data, numerous studies have focused on developing visual analysis techniques tailored to the unique characteristics of urban environments. However, incorporating the third dimension into visual analytics introduces additional challenges in designing effective visual tools to tackle urban data's diverse complexities. In this paper, we present a survey on visual analytics of 3D urban data. Our work characterizes published works along three main dimensions (why, what, and how), considering use cases, analysis tasks, data, visualizations, and interactions. We provide a fine-grained categorization of published works from visualization journals and conferences, as well as from a myriad of urban domains, including urban planning, architecture, and engineering. By incorporating perspectives from both urban and visualization experts, we identify literature gaps, motivate visualization researchers to understand challenges and opportunities, and indicate future research directions.
+
+![](2.jpg "Distribution of surveyed papers according to Why and How dimensions, with shades denoting tag occurrence.")
+
+
+### Paper 
+
+For more information, please see the [paper](/publication/2024-cgf-star-3-dviz/) (open access <i class="ai ai-open-access-square ai"></i>).
+
+[![](page-one.png)](/publication/2024-cgf-star-3-dviz/)
+
+BibTeX citation:
+```bibtex
+@article{2024_cgf_star_3dviz,
+  author = {Miranda, Fabio and Ortner, Thomas and Moreira, Gustavo and Hosseini, Maryam and Vuckovic, Milena and Biljecki, Filip and Silva, Claudio T. and Lage, Marcos and Ferreira, Nivan},
+  doi = {10.1111/cgf.15112},
+  journal = {Computer Graphics Forum},
+  number = {3},
+  title = {The State of the Art in Visual Analytics for 3D Urban Data},
+  volume = {43},
+  year = {2024}
+}
+```

content/publication/2023-epb-xai/cite.bib

@@ -0,0 +1,10 @@
+@article{2023_epb_xai,
+ author = {Liu, Pengyuan and Yan, Zhang and Biljecki, Filip},
+ bdsk-url-1 = {https://doi.org/10.1177/23998083231204689},
+ date-added = {2023-09-30 09:53:43 +0800},
+ date-modified = {2023-09-30 09:53:43 +0800},
+ doi = {10.1177/23998083231204689},
+ journal = {Environment and Planning B: Urban Analytics and City Science},
+ title = {Explainable spatially explicit geospatial artificial intelligence in urban analytics},
+ year = {2023}
+}

content/publication/2023-epb-xai/index.md

@@ -0,0 +1,74 @@
+---
+title: Explainable spatially explicit geospatial artificial intelligence in urban
+  analytics
+
+# Authors
+# A YAML list of author names
+# If you created a profile for a user (e.g. the default `admin` user at `content/authors/admin/`), 
+# write the username (folder name) here, and it will be replaced with their full name and linked to their profile.
+authors:
+- Pengyuan Liu
+- Zhang Yan
+- Filip Biljecki
+
+# Author notes (such as 'Equal Contribution')
+# A YAML list of notes for each author in the above `authors` list
+author_notes: []
+
+date: '2023-01-01'
+
+# Date to publish webpage (NOT necessarily Bibtex publication's date).
+publishDate: '2024-06-16T01:37:38.943800Z'
+
+# Publication type.
+# A single CSL publication type but formatted as a YAML list (for Hugo requirements).
+publication_types:
+- article-journal
+
+# Publication name and optional abbreviated publication name.
+publication: '*Environment and Planning B: Urban Analytics and City Science*'
+publication_short: ''
+
+doi: 10.1177/23998083231204689
+
+abstract: ''
+
+# Summary. An optional shortened abstract.
+summary: ''
+
+tags: []
+
+# Display this page in a list of Featured pages?
+featured: false
+
+# Links
+url_pdf: ''
+url_code: ''
+url_dataset: ''
+url_poster: ''
+url_project: ''
+url_slides: ''
+url_source: ''
+url_video: ''
+
+# Custom links (uncomment lines below)
+# links:
+# - name: Custom Link
+#   url: http://example.org
+
+# Publication image
+# Add an image named `featured.jpg/png` to your page's folder then add a caption below.
+image:
+  caption: ''
+  focal_point: ''
+  preview_only: false
+
+# Associated Projects (optional).
+#   Associate this publication with one or more of your projects.
+#   Simply enter your project's folder or file name without extension.
+#   E.g. `projects: ['internal-project']` links to `content/project/internal-project/index.md`.
+#   Otherwise, set `projects: []`.
+projects: []
+---
+
+Add the **full text** or **supplementary notes** for the publication here using Markdown formatting.

content/publication/2024-cgf-star-3-dviz/2024-cgf-star-3-dviz.bib

@@ -0,0 +1,9 @@
+@article{2024_cgf_star_3dviz,
+ author = {Miranda, Fabio and Ortner, Thomas and Moreira, Gustavo and Hosseini, Maryam and Vuckovic, Milena and Biljecki, Filip and Silva, Claudio T. and Lage, Marcos and Ferreira, Nivan},
+ doi = {10.1111/cgf.15112},
+ journal = {Computer Graphics Forum},
+ number = {3},
+ title = {The State of the Art in Visual Analytics for 3D Urban Data},
+ volume = {43},
+ year = {2024}
+}

content/publication/2024-cgf-star-3-dviz/cite.bib

@@ -0,0 +1,9 @@
+@article{2024_cgf_star_3dviz,
+ author = {Miranda, Fabio and Ortner, Thomas and Moreira, Gustavo and Hosseini, Maryam and Vuckovic, Milena and Biljecki, Filip and Silva, Claudio T. and Lage, Marcos and Ferreira, Nivan},
+ doi = {10.1111/cgf.15112},
+ journal = {Computer Graphics Forum},
+ number = {3},
+ title = {The State of the Art in Visual Analytics for 3D Urban Data},
+ volume = {43},
+ year = {2024}
+}

content/publication/2024-cgf-star-3-dviz/index.md

@@ -0,0 +1,77 @@
+---
+title: The State of the Art in Visual Analytics for 3D Urban Data
+
+# Authors
+# A YAML list of author names
+# If you created a profile for a user (e.g. the default `admin` user at `content/authors/admin/`), 
+# write the username (folder name) here, and it will be replaced with their full name and linked to their profile.
+authors:
+- Fabio Miranda
+- Thomas Ortner
+- Gustavo Moreira
+- Maryam Hosseini
+- Milena Vuckovic
+- filip
+- Claudio T. Silva
+- Marcos Lage
+- Nivan Ferreira
+
+# Author notes (such as 'Equal Contribution')
+# A YAML list of notes for each author in the above `authors` list
+author_notes: []
+
+date: '2024-06-10'
+
+# Date to publish webpage (NOT necessarily Bibtex publication's date).
+publishDate: '2024-06-16T01:37:38.937007Z'
+
+# Publication type.
+# A single CSL publication type but formatted as a YAML list (for Hugo requirements).
+publication_types:
+- article-journal
+
+# Publication name and optional abbreviated publication name.
+publication: '*Computer Graphics Forum*'
+publication_short: ''
+
+doi: 10.1111/cgf.15112
+
+abstract: "Urbanization has amplified the importance of three-dimensional structures in urban environments for a wide range of phenomena that are of significant interest to diverse stakeholders. With the growing availability of 3D urban data, numerous studies have focused on developing visual analysis techniques tailored to the unique characteristics of urban environments. However, incorporating the third dimension into visual analytics introduces additional challenges in designing effective visual tools to tackle urban data's diverse complexities. In this paper, we present a survey on visual analytics of 3D urban data. Our work characterizes published works along three main dimensions (why, what, and how), considering use cases, analysis tasks, data, visualizations, and interactions. We provide a fine-grained categorization of published works from visualization journals and conferences, as well as from a myriad of urban domains, including urban planning, architecture, and engineering. By incorporating perspectives from both urban and visualization experts, we identify literature gaps, motivate visualization researchers to understand challenges and opportunities, and indicate future research directions."
+
+# Summary. An optional shortened abstract.
+summary: ''
+
+tags: []
+
+# Display this page in a list of Featured pages?
+featured: false
+
+# Links
+url_pdf: ''
+url_code: ''
+url_dataset: ''
+url_poster: ''
+url_project: 'https://urban-survey.github.io/vis/'
+url_slides: ''
+url_source: ''
+url_video: ''
+
+# Custom links (uncomment lines below)
+# links:
+# - name: Custom Link
+#   url: http://example.org
+
+# Publication image
+# Add an image named `featured.jpg/png` to your page's folder then add a caption below.
+image:
+  caption: ''
+  focal_point: ''
+  preview_only: false
+
+# Associated Projects (optional).
+#   Associate this publication with one or more of your projects.
+#   Simply enter your project's folder or file name without extension.
+#   E.g. `projects: ['internal-project']` links to `content/project/internal-project/index.md`.
+#   Otherwise, set `projects: []`.
+projects: []
+---

publications.bib

@@ -1,13 +1,25 @@
 %% This BibTeX bibliography file was created using BibDesk.
 %% https://bibdesk.sourceforge.io/
 
-%% Created for Filip at 2024-05-19 21:49:52 +0200 
+%% Created for Filip at 2024-06-16 09:37:32 +0800 
 
 
 %% Saved with string encoding Unicode (UTF-8) 
 
 
 
+@article{2024_cgf_star_3dviz,
+	author = {Miranda, Fabio and Ortner, Thomas and Moreira, Gustavo and Hosseini, Maryam and Vuckovic, Milena and Biljecki, Filip and Silva, Claudio T. and Lage, Marcos and Ferreira, Nivan},
+	date-added = {2024-06-16 09:37:31 +0800},
+	date-modified = {2024-06-16 09:37:31 +0800},
+	doi = {10.1111/cgf.15112},
+	journal = {Computer Graphics Forum},
+	number = {3},
+	title = {The State of the Art in Visual Analytics for 3D Urban Data},
+	volume = {43},
+	year = {2024},
+	bdsk-url-1 = {https://doi.org/10.1111/cgf.15112}}
+
 @article{2024_ceus_gnn_building,
 	author = {Lei, Binyu and Liu, Pengyuan and Milojevic-Dupont, Nikola and Biljecki, Filip},
 	date-added = {2024-05-19 21:49:45 +0200},