Geospatial ScienceNottingham Geospatial Institute

Jeremy MorleyTheme Leader

jeremy.morley@nottingham.ac.uk

NGI: Geospatial Science

Spatial Data Infrastructures (SDI) Geospatial Analysis and Analytics Openness and Interoperability Location Based Services (LBS) Geosemantics, Language and Cognition Geoinformatics and Data Modelling 3D GIS Crowd-sourcing & Geosp. Data Quality Planetary AgriGIS

ottinghameospatialnstitute

NGI

Xuelin He– Exchangeable geoweb services & push services

Emily Webber– Strategies in navigational device use and their effects on

environmental learningJulian Rosser

– Crowd-sourcing of 3D building interiorsMark Iliffe

– Engaging communities in the developing world for mapping and improvements to water supplies

Abdur Rahman– Attitudes to sharing using check-ins and geotags

James Sprinks– How far can crowd-sourcing be pushed for identifying

geological features of Mars?

Example PhD projects

Current Activities

OGC: Board + Technical Committee; IndoorGML ViceChair EuroSDR: UK National Academic Rep., Chair Commission V AGILE: Chair GEOSS Science and Technology Committee (STC). Association of Chief Police Officers (ACPO): GI Board UK Location Progrm. (Interoperability Board,) User Group Oracle Spatial Centre of Excellence: 1 of 3 globally UK-Environmental Observation Framework Data Advisory

Group (UK-EOF DAG) FOSS4G 2013: Conference hosts, co-chair, team members ICA: Chair, Commission on Open Source Geospatial Tech. AGILE/EuroSDR/OGC:

Persistent Interoperability Test-bed initiators

OPEN SOURCE GIS

GEOWEB(Mashups, Web 2.0, OSM)

SDI / TRADITIONAL GIS

OGC / ISO –STANDARDISATION

UK ACADEMIC GIS

POLES APART?

UK OPEN DATA(Linked data)

HIGH QUALITY DATA

Mathare

(c) OpenStreetMap contributors, CC-BY-SA

Mark Iliffe,Horizon DTC Phd student

Taarifa.org

Introducing #Taarifa

“The problem we are trying to solve is that the technology we design is difficult for our users to use and access.” Steven

Feldman

•52% of Water points in Tanzania are non-functional.•30% population coverage.1 toilet to 93 people in the Tandale slum

•Build new infrastructure as well as maintaining and fixing broken infrastructure.

•Support existing water users, suppliers and maintainers.

Problem

Task 2.5:Natural Language Discovery and Query Interface

• motivation: intuitive natural language queryquery using Natural Semantic Metalanguage (NSM) – restricted natural language

• aim: discovery of geographic resourcesusing natural language based on the user’s perspective, without specialist knowledge

• means: multilingual natural language web applicationweb front end and WPS to process users’ queries

Kristin Stock, Claudia Cialone, Ronald Ranjit, Amir Pourabdollah

How does it work?• User interface:

– allows user input combining:• natural language using Natural Semantic Metalanguage (NSM) to describe the spatial query and • ontology concepts for geographic features,

– is supported by an OWL ontology.– formulates WPS request.

• WPS:– gets resources that are semantically related to the selected ontology concepts– converts NSM user request to Prolog– runs request against a prolog knowledgebase to identify which spatial relation it

describes– performs spatial query on semantically related resources– ranks resources and returns them to user interface

• User interface displays resources

INDOOR / OUTDOOR

City modelling technology

Photogrammetry Laser scanning (LiDAR) Structure-from-motion (Photosynth)

CAD / construction models Building modelling tools (Sketchup) Architectural design tools Streetview? Panoramas? Video walkthru? Games environments

Taken from OGC CityGML 1.0 standard

http://www.iai-tech.org/ifc/IFC2x3/TC1/html/index.htm

Crowdsourcing buildinginterior models

Interior data important for many areas– Not often available– Not easy to capture or maintain

Public and private spaces require modelling– User control of data– Users understand accessibility

Can building models be crowdsourced?– Dynamic (frequent) resurvey– Resident-generated GIS (Talen, 1999).

Need geometry, semantics, texture,landmarks

http://www-video.eecs.berkeley.edu/research/indoor/

http://sketchup.google.com/3dwh/buildingmaker.html

Julian Rosser

How can volunteered data be best elicited from users in order to model 3D building interiors?

– Can mobile devices provide a platform for capture and update of building interior data?

Simple & accessible

– How can 3D GIS store and validate (topologically correct) building interiors?

Disparate, incomplete, optimal models CityGML vs BIM vs ?

– What is the role of volunteered building models in aiding emergency management and disaster response?

Need public & private models Supplement / validate remotely sensed data

Research questionsJulian Rosser

Indoor / Outdoor integration

Still, many indoor solutions are separate from the city model

How do we manage possible quite inaccurate indoor models in the outside building shell?

How do we connect path & space from outdoors in?

IndoorGML (OGC)

Crowd-sourcing vernaculargeography

Julian Rosser,Jeremy Morley

Rate-My-Place Facebook app

Fuzzy zones (vs Flickr alpha shape)

m

Tokunbo Olorundami, Jeremy Morley, Svenja Adolphs

Finding pauses in verbal route descriptions, by males & females

NGI: Geospatial Science

Spatial Data Infrastructures (SDI) Geospatial Analysis and Analytics Openness and Interoperability Location Based Services (LBS) Geosemantics, Language and Cognition Geoinformatics and Data Modelling 3D GIS UGSC / VGI / Geospatial Data Quality Planetary AgriGIS

ottinghameospatialnstitute

NGI

• JISC – ELOGeo & follow-on• 1Spatial – OSM-GB• FP7 – THE ISSUE• MoD/DSTL – AGIS• GEM – IDCT• BBSRC – GRASP (to recruit)• FP7 – PRoVIDE (starting Jan 2013 – recruiting ~March ‘13)• FP7 – COBWEB (Citizen Observatory Web)

• OS – Future Data• FP7 – PRoVisG• FP7 – EuroGEOSS• FP7 – e-SOTER• Transport iNet – ECO-TRAX• EPSRC – TPM• TSB - SWIMA

Current & recent projects

• Crowd sourcing / VGI• Pervasive computing • Semantics & linguistic analysis• Spatial data HCI, visualisation, presentation

technologies• 3D city & building modelling: indoor & out• Open source geo software & open geo data• Geospatial databases, search + data mining• Positioning and tracking technologies• Sensor-web technologies