Tuesday, 30 April 2019

Data±Geo London : Spatial Analysis and Geo prediction

Geo-Data London by CDRC dated 30th April at Pearson building 

AGI - Association for geographic information by Paul , intelligence@london.gov.uk from the London datastore.Paul Hodgson is GIS & Infrastructure Manager at Greater London Authority, holds an MSc in GISc (Birbeck 2003), and is a Chartered Geographer (GIS). Cleaning up London’s air - number of awareness of air quality, energy for London, inclusion and integration and citizen science. In 1952- poor quality of air in London. Why is the quality poor - health - priority pollutants NO2 and small particulates which is related to chronic health problems. The major solutions is over 90% of major roads in the inner london exceeded its NO2 limits. Introduction of electric vehicles with new vehicles introduced. High spatial resolution with annual average values, 2016 data just released that will allow us to explore scenarios and pyritise intervention ares and monitor legal boundaries. The probabilistic modelling with ATI team, ingests data of different resolution, assess different ML approaches. There are connecting data with different aspects like TFL, GLA, central government , London boroughs, academic institutions, business, LfB, Charities etc as the mayor of London 

Thomas Heinis form Imperial - Large scale spatial analytics for road space optimisation  b y Space Lab. Spatial data information about the locations and shapes of geographic features and relationships between them stored in coordinates and topology. Mapped stat data, GPS records, points of interests, junction and road segments with explosion and trajectories wit the prevalence of mobile devices. Developing stable algorithmic tools for analysis on big spatial data which has spots and regions in scalable way, Building block that is hottest spot search where the worst congestion spot in London is calibrated and dense location is proposed with MaxRS. With help of Naive approach a evaluation aggregation of every location with infinite number of locations. 



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