Basic Principles. Geographical Information Systems…GI Science – (NB rebrand taking hold: Spatial Data Science) Conceptualising reality in a computer

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  • Slide 1
  • Basic Principles
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  • Geographical Information SystemsGI Science (NB rebrand taking hold: Spatial Data Science) Conceptualising reality in a computer model Not just maps or manipulation Why is GI important? Everything happens somewhere Ability to attach multitude of information Relationship between phenomena spatial co-incidence relate/transfer info (attributes) between layers where co-incide
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  • Data acquisition/integration Data management/database management electronic filing cabinet Data analysis Decision making Visualisation/cartography
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  • Discrete entities with specific location Multiple attributes for each feature PointPolylinePolygon Longley et al., 2005: 77.
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  • Continuous surface with changing values Elevation and derivatives Satellite imagery Photographs Scanned maps Attributes Each cell has single value This can relate to Value Attributes
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  • Mapping find spots across a site Points Multiple attributes can be recorded Type of find Measurements Dating/period Material Record number And of course implicitly spatial reference/location Permits spatial analysis, incl. of all the attributes above Point-Pattern Analysis Possible (e.g. Clustering?)
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  • Display density of IA sites found in the Lothians Grid (of usually square cells) Each grid cell can show value relating to density of sites per unit square Aggregate (zonal) measures of one variable per grid
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  • Vector Historic Land Use Polygons Stops on the Grand Tour Points: Attributes mood, time spent at each place, no. of mentions in text whole new field of geol text analysis Raster Scanned maps e.g. efforts of NLS in Edinburgh Historic e.g. wildlife surveys grid squares, tetrads Any continuous surface to represent aggregate stats
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  • In the field - data capture and recording; primary data Vector Fieldwalking Find spots Monument location Trench locations Contour surveys Full Plans In the lab (automated) digitising; geol text analysis www.english-heritage.org.uk
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  • Maps Modern Can be vector or raster OS (OpenData, MasterMap) Enviro, e.g. CEH, BGS Historical Old OS BGS? Other Historic Maps/Plans Topography Geophysical imagery Remote sensing Optical/RADAR/LiDAR Caracol LiDAR (www.britannica.com)
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  • Historical GIS Portsmouth/ex Edinburgh HGIS/US Rail Economics Richard Healey (set up Edin MSc GIS) Online Resources Humphrey Southall Great Britain Historical GIS A Vision Of Britain Through Time Old Maps Online PastPlace: Rethinking gazetteers for the semantic web (I.e. OLD meets NEW) Spatial Humanities Lancaster Ian Gregory, ex MSc Texts, GIS, Places Project Census Analysis Liverpool, Manchester, Edinburgh Urban Change, Health, Travel Patterns, Deprivation Mostly recent data however some moves to more historic analysis
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  • Visualising Urban Geographies Richard Rodger (History, Ed)/NLS Chris Fleet Historical Transport Data/Network Evolution Lots of attempts to recreate historic roads and railways (canals too?) but many are static PDF! We need actual vector data to do any useful analysis My destiny? One day! 3D Visualisation of Past Environments (Again one day soon?)
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  • Primary Data mostly obtained by digitising of old records either maps or tables, some collected (e.g. census records) Secondary Data either pre-digitised and/or alternative accounts for tabular data, or e.g. historic land parcels/parishes The past can be tricky! Often historical data displayed on contemporary maps! A pitfall?
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  • Data and Cultural Resource management Sites and Monuments Records Historic Environment Records More flexible storage and querying Topology preserved Go beyond one point in the landscape Sophisticated querying/spatial testing Attaching detailed attribute data to spatial objects Analysis of arch/histl sites within broader context
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  • Public dissemination Search databases online APIs/Screenscraping can be used to extract large data volumes Heritage/Archaeological http://canmore.rcahms.gov.uk/ RCAHMS (merging Historic Scotland) http://canmore.rcahms.gov.uk/ http://www.keystothepast.info/Pages/Home.aspx Keys to the Past http://www.keystothepast.info/Pages/Home.aspx http://archaeologydataservice.ac.uk/archsearch/ Arch. Data Service http://archaeologydataservice.ac.uk/archsearch/ Historical GIS http://maps.nls.uk/index.html National Map Library of Scotland http://maps.nls.uk/index.html http://geo.nls.uk/urbhist/ Visualising Urban Geographies http://geo.nls.uk/urbhist/ http://www.visionofbritain.org.uk/ Vision Of Britain Through Time http://www.visionofbritain.org.uk/ http://www.oldmapsonline.org/ Old Maps Online http://www.oldmapsonline.org/ NB: Lack of standardisation. Not all may qualify as DBMS!
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  • Wiltshire County Council Sites and Monuments Mapping
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  • Google Maps (and Google Earth) Basic Functionality Online Full Power via JavaScript powered web pages Over-reliance on commercial megabusiness? OpenLayers Free and Open alternative (NB Open Free) Other web map tools: E.g. MapServer, GeoServer
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  • Market leader in GIS software One of several ESRI ArcGIS packages ArcScene, ArcCatalog Can handle most data types At a basic level, is helpful for cartography and visualisation Many forms of analysis available Multi-criteria analysis (prediction modelling) Visibility Cost surfaces Networks However Closed, proprietary software Not the only program available, and expensive (tho some free components) Alternatives: MapInfo, GeoMedia, FME, CadCorp Open Source GIS Much open source software available; modifiable, extensible, fixable! GRASS, Quantum GIS, gvSIG many make use of GDAL/OGR libraries http://opensourcegis.org/ http://opensourcegis.org/ Or e.g. R or Python stats, programming both oft used for maps
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  • http://www.shc.ed.ac.uk/projects/longwalls/Method ology/Visualisation.htm Byk Bedesten Casal de Freiria Rua and Altivo, 2011: 3302 USGS (Sept 2011) LiDAR particularly good for trees (top and bot = first and last)
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  • Previous examples may require GIS data/model be fed to 3D modelling software for detailed work (or that model be constructed in dedicated CAD/3D software) We can however very quickly create effective visualisations of 2.5D landscapes in e.g. ArcScene (and we can import 3D models from CAD/3D software) We can also very quickly render animated visualisations of landscapes in GIS software One example! (NB may not be made with Arc!): http://www.satimagingcorp.com/gallery/quicktime-north- korea.html http://www.satimagingcorp.com/gallery/quicktime-north- korea.html
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  • We must be cautious when using computers Demonstrate how such reconstructions are developed, and provide information indicating our depth/lack of knowledge Full publication (data, methods, limitations) Knowledge representation-what we think we know Dont be blinded by their scientific aura Dont use them for the sake of it: question them Technological determinism Dont tacitly accept their results
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  • What am I trying to get the GIS to do? How does this relate to my aim? What data are available and will more need to be created? What about data quality? Completeness? What is the state of archaeological/historical knowledge? Therefore, how appropriate are the data? What is the most appropriate scale at which to work? And what scale/resolution are the data?
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  • Data quality Different bodies hold data; different standards Currency Completeness Representation of archaeological/historical reality; and not 3D but 2.5D Technological determinism Packages can only perform certain operations Algorithms themselves can be restricting Phenomenological/experiential/ritual aspects not easily mapped and analysed
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  • If not, then
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