Being
            In Front
            Is Good—But Where Is
            In Front
            ? Preferences for Spatial Referencing Affect Evaluation

Andrea Bender; Sarah Teige‐Mocigemba; Annelie Rothe‐Wulf; Miriam Seel; Sieghard Beller

doi:10.1111/cogs.12840

Being In Front Is Good—But Where Is In Front ? Preferences for Spatial Referencing Affect Evaluation

Cognitive Science ◽

10.1111/cogs.12840 ◽

2020 ◽

Vol 44 (6) ◽

Author(s):

Andrea Bender ◽

Sarah Teige‐Mocigemba ◽

Annelie Rothe‐Wulf ◽

Miriam Seel ◽

Sieghard Beller

Keyword(s):

Spatial Referencing

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Geographic information - Spatial referencing by geographic identifiers

10.3403/30338949 ◽

2019 ◽

Keyword(s):

Geographic Information ◽

Spatial Referencing

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An Augmented Reality Spatial Referencing System for Mobile Robots

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ◽

10.1109/iros45743.2020.9340742 ◽

2020 ◽

Author(s):

Sonia Mary Chacko ◽

Armando Granado ◽

Ashwin RajKumar ◽

Vikram Kapila

Keyword(s):

Augmented Reality ◽

Mobile Robots ◽

Spatial Referencing

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Visual representation of CORDEX climate data by using QGIS

10.5194/egusphere-egu21-14599 ◽

2021 ◽

Author(s):

Kalamkas Yessimkhanova ◽

Mátyás Gede

Keyword(s):

Climate Models ◽

Data File ◽

Climate Projections ◽

Climate Data ◽

Local Climate ◽

Information Preference ◽

Time Period ◽

Open Source Gis ◽

Visualization Toolkit ◽

Spatial Referencing

The majority of studies are dedicated to the analysis of climate change and climate models with no regard for data visualization part. Therefore, this research is aimed at highlighting challenges, with an emphasis on spatial referencing that can occur while visualizing CORDEX data. CORDEX data are stored in NetCDF file format, and sometimes georeferencing may be misconceived in QGIS software. For this reason, two techniques of georeferencing data are examined in this work. The first way of data georeferencing is re-projecting coordinates from original projection to an interpolated latitude/longitude grid. The second way is re-encrypting initial data file so that QGIS is able to interpret projection information. Preference of using QGIS explained by two reasons: it is open source GIS application and it has expanded visualization toolkit.In addition, there are a great deal of climate models based on CORDEX data for some regions whereas there is a lack of climate projections for particular areas. In this regard, carrying out analysis for the region of Kazakhstan is beneficial. Outcomes of this research may stimulate spreading local climate models for Kazakhstan territory. Results are represented in the form of maps of Kazakhstan illustrating temperature change over 21st century time period.

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