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Tag Archive 'Crowd Analyser'

Maps of the spatial distribution of crop heights can strongly support agriculture in terms of efficiency and yield optimization. Recently published results of experiments of the 3D Spatial Data Processing research group describe an approach to easily extend regular agricultural machines with low-cost sensors for capturing crop heights while the machine is in the field.
Based [...]

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On Friday, our member RenĂ© Westerholt held a talk at the Annual Meeting of the American Association of Geographers (AAG) in Boston. The talk which is entitled “Topological and scale-related issues in Twitter analyses through superimposed forms of spatial heterogeneity” was part of a special session on geographic data science organised by Alex Singleton from [...]

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cfp: VGI-Analytics 2017
Volunteered Geographic Information (VGI): Integration, ANALYsis, applICationS
Tuesday, 9th May 2017, Wageningen University, The Netherlands at AGILE 2017

VGI-Analytics 2017 is the [...]

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In agriculture, information about the spatial distribution of crop height is valuable for applications such as biomass and yield estimation, or increasing field work efficiency in terms of fertilizing, applying pesticides, irrigation, etc. Established methods for capturing crop height often comprise restrictions in terms of cost and time efficiency, flexibility, and temporal and spatial resolution [...]

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Talk at University of Warwick

Next Wednesday, RenĂ© Westerholt will talk about the spatial analysis of Twitter data. The talk is part of the “WISC Seminar Series,” which is hosted by the Warwick Institute for the Science of Cities at University of Warwick, Coventry, UK. The talk starts by highlighting the types of spatial analyses that have been conducted so [...]

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Professor Carlo Ratti, Director of the Senseable City Lab at the Massachusetts Institute of Technology (MIT), US is giving a public presentation this evening in the context of the Internationale Bauausstellung IBA Heidelberg - Wissen schafft Stadt.
He will present some of his works and ideas with respect to the senseable city and how this [...]

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Dr. Enrico Steiger (GIScience Heidelberg) will give a invited presentation about
“Utilising social media data for transport planning and traffic management”
on 4pm - 5:30pm, Thu, 23 Jun ‘16
at Room CS101, Department of Computer Science, Warwick University UK
Sustainable Cities Global Research Priority
JOINT GRP / WISC SEMINAR
The overall aim of the talk is to demonstrate how information from [...]

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The results of a study dealing with photogrammetric 3D geodata of mass wasting sites conducted at the GIScience were considered to be worth publishing in the Journal of Applied Remote Sensing: ‘Terrestrial and unmanned aerial system imagery for deriving photogrammetric three-dimensional point clouds and volume models of mass wasting sites.‘
Three-dimensional (3D) geodata of mass wasting [...]

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today Enrico Steiger successfully defended his PhD thesis about “Explorative Spatial and Temporal Human Mobility Analysis from User-Generated Data” at GIScience Heidelberg University.

The massive amount of pervasive, user-generated data creates new possibilities to discover and utilize geographic information. Tied in with this novel role of actively participating users, is a growing research challenge where the [...]

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Many user-generated datasets (e.g., social media) reflect a number of different phenomena. Consequently, these datasets also comprise very different spatial scales. It goes without saying that this evokes tremendous challenges when conducting spatial statistical analyses of such datasets. When assessing spatial autocorrelation among the observations, for example, classical approaches are usually not appropriate. These were [...]

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