BEGIN:VCALENDAR PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3- M3//EN VERSION:2.0 CALSCALE:GREGORIAN METHOD:PUBLISH BEGIN:VEVENT DTSTAMP:20181026T100545Z DTSTART;VALUE=DATE:20190207 DTEND;VALUE=DATE:20190209 SUMMARY:Understanding small areas: spatial analysis of population and nei ghbourhood data UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}i3-jnpupj6a -e1vzv0 DESCRIPTION:This two day workshop equips participants with conceptual und erstanding and technical skills to obtain\, analyse and visualise spatia l data related to populations and neighbourhoods. Using freely available data related to the UK\, a series of guided workshops enable participan ts to:\n\nobtain census and survey data related to geographic areas\nvis ualise\, map and explore spatial patterns within individual and neighbou rhood data\napply a suite of powerful spatial analysis tools and techniq ues to address real-world policy relevant questions at the small area le vel\nuncover spatial characteristics and properties of small area data\n understand how to convert data between different geographic boundaries u sed for data dissemination and the limitations of doing so\nclassify sma ll areas and individuals based on their characteristics and understand t heir widespread application in neighbourhood analysis\nexplore novel nea r-real time user-generated data from social media\nappreciate the techni cal\, ethical and legal challenges and opportunities for working with in dividual level population data.\nHands on training introduces participan ts to powerful spatial analysis software (ArcGIS) as well as the program ming language R. Practical sessions are interspersed with lecture and di scussions to contextualise and consolidate learning. Examples are drawn from the UK and are applicable in an international context and in a vari ety of application areas at different spatial scales.\n\nParticipants al so have the chance to discuss their own related research or applications with other participants and the course tutors.\n\nPopulation and neighb ourhood data are widely used by the academic\, policy-making and commerc ial sectors.\n\nThey drive resource allocation\, decision making and pol icy evaluation. On completion of this course participants will be able t o:\n\nidentify the population and neighbourhood data required to develop or enhance their application interests.\napply and critique relevant sp atial analysis techniques to geolocate\, explore and visualise these dat a.\ncommunicate insights gained to support policy-evaluation\, commercia l decision making or address research questions.\n \n\nPrerequisites:\n\ nNo prior knowledge of statistical or spatial analysis is required. ArcG IS and R will be taught from scratch with a focus on learning the essent ial skills required to handle\, visualise and analyse data related to po pulations and small areas. This course is not designed to provide compre hensive training in programming using R. However\, it will equip partici pants with tools grounded in R to execute advanced analytical tasks rela ting to the acquisition\, processing and representation of social media data using a live\, real-time data feed from Twitter as an example. Part icipants will leave with detailed training materials allowing them to co nfidently apply these tools independently.\nParticipants must be willing to sign up for a Twitter account but are not required to populate it wi th any personal information. They will need to use their account to pre- register to use the Twitter API. Full instructions are provided during t he course.\n \n\nRecommended Reading:\n\nParticipants may find it helpfu l to familiarise themselves with the excellent NCRM resources introducin g geographical referencing found online at: http://www.restore.ac.uk/geo -refer/resources.php\nAdditional reading material and web-based resource s will be recommended during the course STATUS:TENTATIVE TRANSP:TRANSPARENT CLASS:PUBLIC LOCATION:Basement Lab\, Humanities Bridgeford Street\, Manchester END:VEVENT END:VCALENDAR