OGRS2016 reviewer report
Name of the reviewer Gwendall PETIT, Lab-STICC - CNRS UMR 6285, France
Title of the Short Paper City Focus: A web-based interactive 2D and 3D GIS application to find the best place in a city, using open data and open source software
Does the submission provide adequate motivation and interesting conclusions? Good
Does the submission address a challenging or new theoretical/practical issue? Yes
Does the submission present a new approach to an issue or does it put forward a novel combination of existing ideas or techniques? Yes
Is the submission technically sound? Good
Are the results clearly described and critically evaluated? Fair
Is the submission clearly written and logically structured? Good
Does the submission correctly situate itself within the context of existing research literature? Fair
Is the paper closely related to OGRS scope with a content interesting to the OGRS attendees (geospatial research and/or education) ? Good
Does the submission aptly argue the open source approach ? Good
What is the dominant among the below elements of typology? The contribution is rather thematic, that is to say mainly addresses a case study
I recommend the contribution for an oral presentation but not for the publication in PeerJ Computer Science
Comments for the authors "The City Focus project deals with an old problem : how to find the good place to live ?
To answer this question, authors propose to produce (raster) maps that merge different criteria, that can be weighted by the user.
This approach is not new, but here three things are clearly interesting :
- the chain is based on FOSS tools,
- all data used to compute maps are open (and provided on local or national/international level),
- the OGC WPCS standard is used to translate user preferences into rasdaman instructions.
Even if the work is not finished (work-in-progress), it could be interesting to know if the adaptability to a new city has been evaluated. Does the chain is totaly or partially generic ? Computes maps on Paris or Berlin will be hard (lake of data, too many pre-process, ...) or easy (because data are mostly the same) ?
In a more technical point of view, it's not clear for me what kind of data are stored in SQLite ? Is it only for vector layers ?"
Overall index of quality of the manuscript from 0 (poor quality) to 10 (good quality), passing from 5 (fair quality) 7
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