Towards Cartographic Portrayal Interoperability – the Revision of OGC Symbology Encoding Standard

International audienceAs Standard Working Group chairs at the Open Geospatial Consortium, this presentation shares our experiences and our results concerning the ongoing revision of the Symbology Encoding standard

Enjeux de la standardisation des représentations cartographiques : Vers une révision de Symbology Encoding

National audienceCette présentation réalisée pour le séminaire transversal du département Aménagement, Mobilité et Environnement (AME) ayant comme thème "Analyse et représentation géographique des données environnementales" expose les limites des standards de cartographie et propose des éléments pour une révision du standard Symbology Encoding

Challenges in creating a 3D participatory platform for urban development ::a case study

This paper aims at underling difficulties regarding the establishment of citizen engagement processes. The specificity of citizen engagement processes lies in their evolution over time where objectives, constraints, and latitudes of a given project influence the relevance of the tools offered to citizens. Three categories of urban projects (trans-urban, major metropolitan, architectural design) have been described. These classes range from a local space with short deadlines to a regional space spread over several decades. Furthermore, the use of 3D platforms for a broad public is influenced by the users’ preferences, perception, and expertise. Throughout this study, major challenges that have been experienced during the design a 3D participatory platform are identified. They range from the issues of implementing adequate tools according to the project (temporal and spatial scalability), the participation forms (passive, consultative or interactive), to the difficulties of convincing the authorities to use new bottom-up methods. Finally, a conceptual framework for the creation of a 3D participatory platform has been introduced. It can be summarized by three major steps: (1) Meeting the needs of a decision maker, (2) Designing the participation tool in accordance with the context, (3) Translating collected raw data in order to respond to the initial request

Auto-filtering validation in citizen science biodiversity monitoring ::a case study

Data quality is the primary concern for researchers working on citizen science projects. The collected data by citizen science participants are heterogeneous and therefore must be validated. There are several validation approaches depending on the theme and objective of the citizen science project, but the most common approach is the expert review. While expert validation is essential in citizen science projects, considering it as the only validation approach can be very difficult and complicated for the experts. In addition, volunteers can get demotivated to contribute if they do not receive any feedback regarding their submissions. This project aims at introducing an automatic filtering mechanism for a biodiversity citizen science project. The goals of this project are to first use an available historical database of the local species to filter out the unusual ones, and second to use machine learning and image recognition techniques to verify if the observation image corresponds with the right species type. The submissions that does not successfully pass the automatic filtering will be flagged as unusual and goes through expert review. The objective is on the one hand to simplify validation task by the experts, and on the other hand to increase participants’ motivation by giving them real-time feedback on their submissions. Finally, the flagged observations will be classified as valid, valid but uncommon, and invalid, and the observation outliers (rare species) can be identified for each specific region

GEOPOLL - Integrate Cartographic Questions in Web Forms, Polls or Surveys

Most of the web forms, polls or surveys are composed with classical input fields (check boxes, radio buttons, select lists, etc.) and a lot of standards web forms builders or services (e.g. Typeform, WuFoo, Google Forms, Survey Monkey, etc.) help to build and deploy them. Nowadays, offering a text area to catch a ZIP code or a select list to point out a country remains the best way to explicitly collect geospatial data. But what about mapping interfaces to integrate cartographic questions and/or cartographic answers as a more suitable solution? How to let form’s respondents indicate in which area(s) they engage in certain activities? The only way to solve these issues is by coding it yourself. This paper shows the design and technical problematic and try to give some solutions to build an efficient UX for the respondents and a standard answers treatment for the data analysts. This paper will also highlight the capacities of open source JavaScript library like OpenLayers to build the solution. Our interface was tested by the cities of Lausanne and Pully (Switzerland) and thousands of people answered to these « cartographic forms » on mobile and desktop. We would like to share some good practice and lessons learned

The open source dynamics in geospatial research and education

Peer reviewing is one of the core processes of science. While the typical blind system helps to improve original submissions, there are opportunities for academic publishing to learn from open source practices (commits, bug reports, feature requests, documentation, etc.), which are entirely open and done in public view. But beyond, with greater significance, peer reviewing offers a good opportunity to illustrate how the characteristics of the open source model can favor simultaneously the acknowledgment of programming efforts, a high quality evaluation standard, but also reproducibility and transparency. Code has to be considered as a full research object in geospatial development. It should be made available in full and examined as part of any contribution, like the article going with it. A good example is the Journal of Statistical Software. Created in 1996, it publishes articles and code on statistics and algorithms. The contents are freely available on-line, code snippets and source code being published along with the paper. An advantage of this approach is to prevent the propagation of “black boxes”. The approach clearly also adds value to code by acknowledging programming efforts as scientific contributions. But publishing code along with a paper also results in the ability of subsequent research projects to build on this basis. This ability is even becoming a requirement for publicly funded research projects. In addition, we may notice that code malleability provides the researcher with the opportunity to adapt the software to the scientific questions, instead of being constrained by the limiting functionalities of the software. As regards education, there are two key freedoms inherent to open source software and practices that offer potential pedagogical wins for geospatial education. First, “free as in beer” allows students to indefinitely install software on computers without license limitations. A consequence of this unconstrained context is a greater degree of exploration and discovery by the students working by themselves and at their own pace. But there is still a long way to go before all the benefits are fully realized. Indeed, current demands and offerings are focusing on “buttonology”, which consists of learning how to use tools constrained by software licenses carefully negotiated over the years by universities. It raises then some important questions regarding the role of geospatial education. Is it not to train students to equip them with the skill sets and knowledge so that they are ready for, and can create, the future geospatial labor market? Therein, we can consider the second freedom, “free as in speech,” as able to empower the students by revealing the logic of particular algorithms and computational concepts. Open source code—as text—is available for reading, manipulating, and understanding. The expected advantage is that students’ engagement with fundamental concepts is deepened in a way that is per se not possible with closed source software. In other words, students come to see geospatial methods not only as tools they can use in their own research, but as possible subjects for research

Challenges in VGI for scientific projects

Volunteered Geographic Information (VGI) is a recent trend that has been successfully used in order to collect and share geographic information. This method is of interest for scientists who are in need of data and who want to get people involved in their cause. In this paper we discuss the challenges and opportunities that scientists may face when using the concept. An initial challenge is to find users who are willing to contribute. Second scientist must get these users to interact with the application and with each other. The final goal is to end up with high quality data that can be used for scientific research

Implementation of tiled vector services: a case study

Abstract. Vector tiling aims at cutting vector data into smaller entities. It offers several opportunities, especially for the development of web-mapping systems, such as the possibilities to apply different styles, to access attributes or to render 3D data. Today no open and widely adopted standard exists for the implementation of web services involving vector tiles. In this paper we investigate several important parameters that need to be considered for the implementation of vector tile services. We then present a case-study where several tiled vector services are implemented. The results of this case study are useful for further implementations of tiled vector services and discussions regarding standardization

A participatory WebGIS platform to support biodiversity inventory in the Geneva cross-border area

The context is the URBANGENE project which aims at estimating the impact of urbanization on biodiversity using genetic information. The paper discusses the opportunities to involve citizens in a conservation process through the development of a participatory platform based on user-friendly, specially adapted and reusable crowdsourcing tools

Relationship between land cover type and Body Mass Index in Geneva

Past studies conducted in urban areas analyzed the impact of the presence of green spaces on public health, and highlighted in particular the psychological benefits of interacting with nature. To investigate a supposed relationship between overweight and dense built environment, we focused on the State of Geneva, Switzerland, and calculated the correlation between Body Mass Index (BMI) in a representative sample of 6663 adults and the percentage of natural areas at the locations where these individuals were living. To this end, we used populationbased health data from the “Bus Sante” study (Geneva University Hospitals) and multi-scale land cover maps obtained by means of satellite images and LiDAR data classification. We found little correlation between BMI (as a proxy for health) and land cover data and were not able to verify the working hypothesis at local and regional scales. However, an important phenomenon highlighted here is the difference in the results obtained between the city center and the whole State