GRASS GIS at FOSS4G Boston 2017 - Revision history

⚠️Wenzeslaus: /* Coupling a geospatial Tangible User Interfaces (TUI) and an Immersive Virtual Environment (IVE) using using open-source geospatial and 3D modelling tools */

2017-08-21T01:06:10Z

Coupling a geospatial Tangible User Interfaces (TUI) and an Immersive Virtual Environment (IVE) using using open-source geospatial and 3D modelling tools

← Older revision		Revision as of 01:06, 21 August 2017
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	* Description: We present the latest prototype of tangible landscape - a system that couples tangible interaction with open-source geospatial modelling and 3D simulations. With tangible landscape users can collaboratively reshape a physical model of landscape by hand and -in near real-time- receive geospatial simulations projected on the model. We have paired Tangible landscape with a free and open-source 3D modeling and rendering software to enable real-time realistic rendering of human views on a computer display, and immersive head-mounted displays. In this presentation we will describe tangible landscape’s physical setup, software architecture implemented in GRASS GIS and Blender, and the workflow for transforming tangible interaction to geospatial simulation and virtual reality representations. We will demonstrate the system’s functionality and features using a collaborative geospatial modelling case study.		* Description: We present the latest prototype of tangible landscape - a system that couples tangible interaction with open-source geospatial modelling and 3D simulations. With tangible landscape users can collaboratively reshape a physical model of landscape by hand and -in near real-time- receive geospatial simulations projected on the model. We have paired Tangible landscape with a free and open-source 3D modeling and rendering software to enable real-time realistic rendering of human views on a computer display, and immersive head-mounted displays. In this presentation we will describe tangible landscape’s physical setup, software architecture implemented in GRASS GIS and Blender, and the workflow for transforming tangible interaction to geospatial simulation and virtual reality representations. We will demonstrate the system’s functionality and features using a collaborative geospatial modelling case study.
	* Software used: ~~Jupyter, Python, Matplotlib~~, GRASS GIS~~, Paraview~~, Blender		* Software used: Tangible Landscape, GRASS GIS, Blender
	* Slides: https://ncsu-geoforall-lab.github.io/tangible-landscape-talk/FOSS4G_2017.html		* Slides: https://ncsu-geoforall-lab.github.io/tangible-landscape-talk/FOSS4G_2017.html

⚠️Wenzeslaus: add two talks

2017-08-21T01:05:28Z

add two talks

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 * Description: Public webcams provide us with unique information about the dynamics of public spaces and active transportation behavior such as walking or bicycling. We compiled webcam images capturing public squares of towns and cities in several locations around the world and used crowdsourcing platform Amazon Mechanical Turk (MTurk) to locate pedestrians in these images. In this presentation we will show how we used several scientific Python packages and Jupyter Notebook to turn raw MTurk data into a georeferenced dataset suitable for further analysis and visualization.  Using space-time cube representation, we then estimated spatio-temporal density of pedestrians and interactively explored the resulting voxel model in GRASS GIS. Harnessing the power of open source software and crowdsourced data, this study opens new possibilities for the analysis of the dynamics of public spaces within their geospatial context.
 * Software used: Jupyter, Python, Matplotlib, GRASS GIS, Paraview, Blender
 == OSGeo booth ==

⚠️Wenzeslaus: /* Code Sprint */

2017-08-20T20:49:51Z

Code Sprint

Annakrat: add osgeo booth

2017-08-20T20:17:17Z

add osgeo booth

← Older revision		Revision as of 20:17, 20 August 2017
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	* Description: Public webcams provide us with unique information about the dynamics of public spaces and active transportation behavior such as walking or bicycling. We compiled webcam images capturing public squares of towns and cities in several locations around the world and used crowdsourcing platform Amazon Mechanical Turk (MTurk) to locate pedestrians in these images. In this presentation we will show how we used several scientific Python packages and Jupyter Notebook to turn raw MTurk data into a georeferenced dataset suitable for further analysis and visualization. Using space-time cube representation, we then estimated spatio-temporal density of pedestrians and interactively explored the resulting voxel model in GRASS GIS. Harnessing the power of open source software and crowdsourced data, this study opens new possibilities for the analysis of the dynamics of public spaces within their geospatial context.		* Description: Public webcams provide us with unique information about the dynamics of public spaces and active transportation behavior such as walking or bicycling. We compiled webcam images capturing public squares of towns and cities in several locations around the world and used crowdsourcing platform Amazon Mechanical Turk (MTurk) to locate pedestrians in these images. In this presentation we will show how we used several scientific Python packages and Jupyter Notebook to turn raw MTurk data into a georeferenced dataset suitable for further analysis and visualization. Using space-time cube representation, we then estimated spatio-temporal density of pedestrians and interactively explored the resulting voxel model in GRASS GIS. Harnessing the power of open source software and crowdsourced data, this study opens new possibilities for the analysis of the dynamics of public spaces within their geospatial context.
	* Software used: Jupyter, Python, Matplotlib, GRASS GIS, Paraview		* Software used: Jupyter, Python, Matplotlib, GRASS GIS, Paraview, Blender

			== OSGeo booth ==
			[[File:OSGeo_booth_Boston_2017.jpg\|400px\|thumb\|right\| OSGeo booth with Tangible Landscape demo]]
			* From GRASS GIS community Helena Mitasova, Vaclav Petras, Anna Petrasova and Payam Tabrizian volunteered at the booth
			* [http://tangible-landscape.github.io/ Tangible Landscape] demo
			* GRASS GIS flyers and stickers

	== Code Sprint ==		== Code Sprint ==

Annakrat: /* Code Sprint */

2017-08-19T20:14:49Z

Code Sprint

← Older revision		Revision as of 20:14, 19 August 2017
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	* [[User:Annakrat\|Anna Petrasova]]		* [[User:Annakrat\|Anna Petrasova]]
			** ported r.sim.water.mp from addons to r.sim.water and r.sim.sediment {{rev\|71417}}
	* [[User:Wenzeslaus\|Vaclav Petras]]		* [[User:Wenzeslaus\|Vaclav Petras]]
	** new OSGeo website content		** new OSGeo website content

Annakrat: /* Code Sprint */

2017-08-19T19:50:58Z

Code Sprint

← Older revision		Revision as of 19:50, 19 August 2017
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	** {{trac\|3403}}, {{rev\|71414}}, {{rev\|71415}}, {{rev\|71416}}		** {{trac\|3403}}, {{rev\|71414}}, {{rev\|71415}}, {{rev\|71416}}
	* Helena Mitasova: new OSGeo website content		* Helena Mitasova: new OSGeo website content
	* ~~Erik Pohl~~		* Steve Krueger (v.centroids example)
			* Thomas DeVera (Quickstart on wiki)

Annakrat: /* Code Sprint */

2017-08-19T19:48:25Z

Code Sprint

← Older revision		Revision as of 19:48, 19 August 2017
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	* Helena Mitasova: new OSGeo website content		* Helena Mitasova: new OSGeo website content
	* Erik Pohl		* Erik Pohl


			[[Image: GRASS_GIS_sprint_FOSS4G_2017.jpg\|500px\|GRASS GIS 7 sprint team at FOSS4G 2017, Boston]]

	== See also ==		== See also ==

⚠️Wenzeslaus at 19:33, 19 August 2017

2017-08-19T19:33:49Z

← Older revision		Revision as of 19:33, 19 August 2017
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	* [[User:Annakrat\|Anna Petrasova]]		* [[User:Annakrat\|Anna Petrasova]]
	* [[User:Wenzeslaus\|Vaclav Petras]]:		* [[User:Wenzeslaus\|Vaclav Petras]]
	** new OSGeo website content		** new OSGeo website content
	** {{trac\|3403}}, {{rev\|71414}}, {{rev\|71415}}, {{rev\|71416}}		** {{trac\|3403}}, {{rev\|71414}}, {{rev\|71415}}, {{rev\|71416}}

⚠️Wenzeslaus at 19:33, 19 August 2017

2017-08-19T19:33:34Z

← Older revision		Revision as of 19:33, 19 August 2017
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	* [[User:Annakrat\|Anna Petrasova]]		* [[User:Annakrat\|Anna Petrasova]]
	* [[User:Wenzeslaus\|Vaclav Petras]]: new OSGeo website content, {{rev\|71414}}, {{~~trac~~\|		* [[User:Wenzeslaus\|Vaclav Petras]]:
			** new OSGeo website content
			** {{trac\|3403}}, {{rev\|71414}}, {{rev\|71415}}, {{rev\|71416}}
	* Helena Mitasova: new OSGeo website content		* Helena Mitasova: new OSGeo website content
	* Erik Pohl		* Erik Pohl

⚠️Wenzeslaus: /* Code Sprint */

2017-08-19T18:59:37Z

Code Sprint

← Older revision		Revision as of 18:59, 19 August 2017
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	* [[User:Annakrat\|Anna Petrasova]]		* [[User:Annakrat\|Anna Petrasova]]
	* [[User:Wenzeslaus\|Vaclav Petras]]		* [[User:Wenzeslaus\|Vaclav Petras]]: new OSGeo website content, {{rev\|71414}}, {{trac\|
	* Helena Mitasova		* Helena Mitasova: new OSGeo website content
	* Erik Pohl		* Erik Pohl

← Older revision		Revision as of 20:49, 20 August 2017
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	* https://wiki.osgeo.org/wiki/FOSS4G_2017_Code_Sprint#Code_Sprint		* https://wiki.osgeo.org/wiki/FOSS4G_2017_Code_Sprint#Code_Sprint

	~~''Add yourself also here if you plan to be there on August 19 and work on or work with GRASS GIS.''~~		Participants:

	* [[User:Annakrat\|Anna Petrasova]]		* [[User:Annakrat\|Anna Petrasova]]
	** ported r.sim.water.mp from addons to r.sim.water and r.sim.sediment {{rev\|71417}}		** ported r.sim.water.mp from addons to {{cmd\|r.sim.water}} and {{cmd\|r.sim.sediment}} ({{rev\|71417}})
	* [[User:Wenzeslaus\|Vaclav Petras]]		* [[User:Wenzeslaus\|Vaclav Petras]]
	** new OSGeo website content		** new OSGeo website content
	** {{trac\|3403}}, {{rev\|71414}}, {{rev\|71415}}, {{rev\|71416}}		** {{trac\|3403}}, {{rev\|71414}}, {{rev\|71415}}, {{rev\|71416}}
			** {{cmd\|r3.null}} tests and bug fixing ({{trac\|2992}}, {{rev\|71418}}, {{rev\|71420}}, {{rev\|71421}})
	* Helena Mitasova: new OSGeo website content		* Helena Mitasova: new OSGeo website content
	* Steve Krueger (v.centroids example)		* Steve Krueger (v.centroids example)
	* Thomas DeVera (Quickstart on wiki)		* Thomas DeVera (Quickstart on wiki)
			* Jachym Cepicky

	[[Image: GRASS_GIS_sprint_FOSS4G_2017.jpg\|500px\|GRASS GIS 7 sprint team at FOSS4G 2017, Boston]]		[[Image: GRASS_GIS_sprint_FOSS4G_2017.jpg\|500px\|GRASS GIS 7 sprint team at FOSS4G 2017, Boston]]