Nicolas Jullien

and 1 more

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

and 2 more

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).