Introduction A polluted sites could be defined as a place where an accident occured such as an accidental leakage of a pollutant substance, as a storage site like a landfill or even as an exploitation area, used for metals construction or maintenance of building sites equipments. The notion of polluted site through this report will refer to this definition.   In the common architecture of a city, polluted sites are assumed to be mainly located in the periphery of the city, near suburbs location \cite{loire-atlantique}. Therefore people leaving closed to those areas are also located far from the center and all its services, including generalist practitioner. Based on this information, it might be interesting to further analyse the influence between those two parameters (polluted sites location, distance to closest generalist practitioner which will be abbreviate by DCGP through this report) and determine if this common architecture of the city is applied in the case of Vernier. DataVarious data were used to carry out this study : One grid of Vernier (vector layer) with polygons containing DCGP value depending on the location of the residential area. This layer is provided on moodle.One vector layer with polygons of the polluted sites location in Geneva and its surrounding, including the commune of Vernier. This layer is provided as an open data on the  "Sytème d'Information du Territoire à Genève (SITG)" website (http://ge.ch/sitg/sitg_catalog/sitg_donnees).One vector layer also provided by SITG containing the borders of each commune of the Geneva canton. MethodsIn order to interpret manipualte the previous list of data and extract some relevant results, the software QGIS 2.18.6 has been used. The first step for analysing the data has been to remove all the data that were beyond the borders of Vernier. This required some modifications of the Geneva canton original layer by removing all communes apart from Vernier. Then, the "Spatial Query" tool has been used in order to keep only polluted sites located within Vernier's borders.  Now only Vernier's data are taken into consideration, both vector maps with polygons are transformed in vector maps with centroïds of polygons. This will be usefull in order to calculate distance between points of the two layers and see if point located far from generalist pratiotioner are closed to polluted sites. A distance matrix is therefore created in QGIS and will be further analyse in Geoda (a spatial data analysis, geovisualization, spatial autocorrelation and spatial modeling software). This distance matrix contains the distances from each point of the grid to the polluted sites as well as distance to the closest generalist practitioner. Results

Nicolas Jullien

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1)  Morgenthaler’s paper a. Data in EDA mode doesn't represent an underlying population like statistical anaysis but corresponds more to a list or batch of numbers. Therefore there is no need to consider a model as we do in statistical approach. The aim of EDA mode is finding relevant iformation about the data without deeply analyzing the strength of the evidence. For those reasons, EDA is much more flexible than statistics which is a very rigorous method, solving all problems by following the same precise approach.b. When part, even a small one, of the batch values are changes, median stay constant or is not so much affected so it's preferable to use median in EDA mode.c. EDA is usefull to spot easily patterns of the data. When data are re-expressed to EDA, they are better visualized and pattern are determined more rapidly. For instance, it's quite usefull to re-scale the data with the logarithmic function in order to decrease the gap between extremes values and facilitate the conclusion.d. For further understanding of the data, residuals might be usefull by comparing their box plot with box plot of the data or ploting each row residuals against the column effect.2) a. According to Anselin's paper, spatial outliers could be detected by linking a collection of specialized choropleth maps, also called box maps, but we could also use the 3D scatter plot, Moran scatter plot or Lisa map.b. In order to assess sensitivity of Moran's I statistic results, GeoDa includes several options such as changing the number of permutations, rerunning them a certain amount of time and changing the significance cutoff value. This process is usefull to determine how precise and stable is the outliers indication when the the significance barrier is lowered. c. Tobler's observation highlights principles of spatial autocorrelation. Geographic data are affected by their location , they are spatially autocorrelated. Their distribution cannot be random as they are influenced by the neighborhood.d. GeoDa is much easier to use, it doesn't required any programming skills, operator only has to use a point and click interface and it contains more mapping capability compare to R. However, GeoDa is not customizable for now which constitutes a major disadvantage compare to R environment. The best solution would be to switch to R after being introduced to GeoDa's techniques.e. GeoDa might be better to use with vector file analysis instead of raster analysis. Indeed, it is usefull for analysis of discrete geospatial data such as point coordinates or plygon boundary coordinates.
Day map

Reda Tahiri

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Noise pollution and greenness index mutual influence  (Jullien Nicolas, Locatelli Maxence, Tahiri Reda) In the common sens green spaces have a positive influence on the inhabitants health and perception of their environment. Studies have proved that a traffic-noise pollution related have enormous consequences on psychological states of urban residents. According to a study conducted   \cite{Margaritis_2017}  on European cities, noise-traffic can be lowered thanks to the porosity of the green spaces. In addition, based on the effects of traffic-noise pollution, research driven in Iran \cite{Sakieh_2017} came to the conclusion that traffic-noise pollution have a significant influence on residents well-being  and potential effect on the health. However a spatial analysis based on the effects of traffic-noise on health can be important to understand the concepts and the warning situation that the authorities can take in account. Therefore, it might be interesting to question the statistics about the mutual influence of traffic-noise pollution and greenness index. Data Various kind of data were used to carry out the study :4 RVB images describing green spaces in the region of Vernier. They are orthophotos from 2014 provided by Swisstopo (https://www.swisstopo.admin.ch/) with a spatial resolution of 0.5m.One vector file containing borders of Vernier's region One raster file highlighting variation of noise pollution through Vernier's region during day time. Another similar file has been used for data during the night.  Those files incorporate SonBase data set with data collected by Federal Office for the Environment (FOEN) as well as several other offices such as Federal Offices for Spatial Development (ARE) or Roads (FEDRO).