This document discusses using augmented reality as a new visualization method for geographic information systems (GIS) data. It provides background on trends in geovisualization, including moving from 2D to 3D and realistic visualization. The document reviews augmented reality definitions, history, and applications. The research aims to visualize geo-objects in ubiquitous environments using augmented reality to provide dynamic, real-time visualization of GIS data. Initial results demonstrate a GIS augmented reality map using ARTags and displaying University College London buildings in the Layar platform. Future work includes improving positioning techniques and developing new user interfaces and application scenarios.
Getting It Done with limited staff, time and budget.
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Applications of GIS in Public Health EngineeringVignesh Sekar
GIS is used to support decision making for planning and management of land use, natural resources, environment, transportation, urban facilities, and other administrative records. Remote sensing and GIS makes easier to get valuable information about the study area. GIS enables us to integrate different layers and to manage large database. It gives more accurate results when compared to conventional methods. Hence GIS is proved to be a powerful tool in managing spatial and non spatial databases in suitability evaluation.
Free guide to develop a Web GIS
Sign up for this free minicourse to learn how professional GIS developer build a powerful Web GIS application and save thousands of dollars.
This includes a free download that will tell you the top 7 jobs skills you need for a successful career in GIS.
https://gis-science-school-mapping-your-world.teachable.com/p/free-guide-to-develop-a-web-gis-application
Getting It Done with limited staff, time and budget.
This slide show shares a process of developing a GIS plan and framework, shows tools to track and implement the plan, and shows examples of how the GIS plan is directly tied with City initiatives and budget.
Applications of GIS in Public Health EngineeringVignesh Sekar
GIS is used to support decision making for planning and management of land use, natural resources, environment, transportation, urban facilities, and other administrative records. Remote sensing and GIS makes easier to get valuable information about the study area. GIS enables us to integrate different layers and to manage large database. It gives more accurate results when compared to conventional methods. Hence GIS is proved to be a powerful tool in managing spatial and non spatial databases in suitability evaluation.
Free guide to develop a Web GIS
Sign up for this free minicourse to learn how professional GIS developer build a powerful Web GIS application and save thousands of dollars.
This includes a free download that will tell you the top 7 jobs skills you need for a successful career in GIS.
https://gis-science-school-mapping-your-world.teachable.com/p/free-guide-to-develop-a-web-gis-application
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GIS is commonly used in urban planning to assists with land use planning and development zoning maps. ... The use of GIS in environmental planning is increasingly being sought to address problems of spatial modelling.
The following presentation was delivered by Robert Morrison, Principal Consultant at Esri Ireland, at the 2019 NICS ICT Conference in October 2019.
The presentation focuses on taking a geographic approach to machine learning to help you "see what other's can't".
Imagery and remotely sensed data is a valuable resource for many organisations who have made substantial investment obtaining the data. The field of Machine Learning is both broad and deep and is constantly evolving. Using ArcGIS and Machine Learning allows organisations to derive valuable new content.
ArcGIS is an open, interoperable platform that allows for the integration of complementary methods and techniques that empower ArcGIS users to solve complex, real-world problems in a fundamentally spatial way.
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Role of GIS in Health Care Management by Dr. Dipti MukherjiPriyanka_vshukla
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To the best of our knowledge there is no automated or simi-automated tool that uses deep learning to detect features from satellite imagery.
Presentation on applications of AI in the geospatial domain at the Fourth Edition of AI in Practice (6th November 2019, Startup Village, Amsterdam, The Netherlands)
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My keynote presentation at Minnesota GIS/LIS. Similar to my recent keynote at AGI GeoCommunity in the UK, but with some additional material (50 vs 30 minutes) and a few tweaks. Looks at trends in the geospatial industry in three areas: moving to the mainstream; a real time multimedia view of the world; and crowdsourcing.
The Geospatial Revolution - AGI GeoCommunity keynotePeter Batty
My keynote presentation given at the AGI GeoCommunity conference in Stratford upon Avon, UK, on September 23, 2009. Talking about directions in the geospatial industry.
Maps are everywhere—on the Internet, in our car, and even on our mobile phone. Moreover, maps of the twenty-first century are not just paper diagrams folded like an accordion. Maps today are colorful, searchable, interactive, and shared. This transformation of the static map into dynamic and interactive multimedia reflects the integration of technological innovation and vast amounts of geographic data. The key technology behind this integration, and subsequently the maps of the twenty-first century, is geographic information systems or GIS.
GIS is commonly used in urban planning to assists with land use planning and development zoning maps. ... The use of GIS in environmental planning is increasingly being sought to address problems of spatial modelling.
The following presentation was delivered by Robert Morrison, Principal Consultant at Esri Ireland, at the 2019 NICS ICT Conference in October 2019.
The presentation focuses on taking a geographic approach to machine learning to help you "see what other's can't".
Imagery and remotely sensed data is a valuable resource for many organisations who have made substantial investment obtaining the data. The field of Machine Learning is both broad and deep and is constantly evolving. Using ArcGIS and Machine Learning allows organisations to derive valuable new content.
ArcGIS is an open, interoperable platform that allows for the integration of complementary methods and techniques that empower ArcGIS users to solve complex, real-world problems in a fundamentally spatial way.
Learn how by combining powerful built-in Image analysis tools with any machine learning package users can benefit from the spatial validation, geo-enrichment and visualisation. See how this Machine Learning is being applied in real world use-cases from marine farming and crime analysis to agriculture and sustainability.
Role of GIS in Health Care Management by Dr. Dipti MukherjiPriyanka_vshukla
Presentation on Role of GIS in Health Care Management by Dr. Dipti Mukherji during Seminar on Spatial Dimensions on Health Care - Use of GIS in Health Studies Organised by CEHAT and University of Mumbai on 24th Sep 2010
We show how deep learning can be effectively applied to remote sensing. Many problems we faced, solutions we have had discovered were highlighted too. Remotely sensed data, unlike other vision tasks are very challenging and posses extra difficulties. Objects are very small compared to the image size, and even small pixel sizes of 8*10 pixel can contain huge amount of informations.
To the best of our knowledge there is no automated or simi-automated tool that uses deep learning to detect features from satellite imagery.
Presentation on applications of AI in the geospatial domain at the Fourth Edition of AI in Practice (6th November 2019, Startup Village, Amsterdam, The Netherlands)
Erik Van Der Zee, Enterprise Architect, Geodan
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The Geospatial Revolution in CopenhagenPeter Batty
The keynote talk I gave at a seminar organized by the Danish National Mapping Agency in Copenhagen, in March 2010. Some common material with other "Geospatial Revolution" presentations I have given, and some new material too.
An integrated geospatial system, the Dynamic GIS is able to translate change, on the fly, into actionable information. Completely connecting sensors to software and software to application specific solutions (through on-demand web based spatial modeling) ultimately provides a means to protect lives, infrastructure (property), and society. The Dynamic GIS supports the complete geospatial information lifecycle from capture to delivery. Sensor technology captures snapshots of geography for a given location over a period of time; this includes airborne sensors (airborne digital imaging, LiDAR, UAV), satellites, and terrestrial sensors (total station, GPS, video, terrestrial LiDAR, handheld devices). The next step is processing, which includes transforming vector, raster, terrain data into actionable information, with tools for fusing and integrating source content into software applications for the creation and update of geospatial data and information products. Managing, fusing, and sharing geospatial data across departments and regions, enables an organization to connect data and information. Finally, rapidly and securely delivering integrated information products ensures the right individuals can make timely decisions. This includes on-demand geo-processing over the Internet, to mobile clients and the cloud through vertical market-focused SaaS implementations.
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Presentation at DRCOG in Denver on the Geospatial Revolution. Some additional material on data sharing compared to previous versions of the same talk (but a lot of common material)
Latest iteration of my Geospatial Revolution talk that I've been using on my down under tour. Includes various cricket slides, probably comprehensible only to Aussies and Pommies :) !!
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Augmented Reality: A New Geovisualisation Method for GIS
1. Augmented reality :
A new visualisation method for GIS
PhD Researcher Sung Hyun Jang
Supervised by Mike Batty and Andy Hudson-Smith
2. Outline
• Introduction • Initial results
• Background – AR map using ARTag
– Geovisualisation Trend – UCL buildings in Layar
g y
– Ubiquitous computing • Conclusion
• Literature review • Future Work
– Geovisualisation
– About AR
• Definition
• History
– AR applications
• Methodology
– Data extract
– Scenario
– Matching
– Implementation and Evaluation 249
3. Introduction
“ If a picture is worth a thousand words, then an interface is
worth a thousand pictures” (Shneiderman 2001)
(Shneiderman,
“If an interface is worth a thousand pictures, then
a geovisualisation can save more than a
thousand lives”
349
6. Background
Geovisualisation Trend
Data
Life
Cycle
C l
GIS Geovisualisation GIS
Platform Trend Uses
GIS
Data
649
7. Background
GIS data life cycle
1st Gen. : linear and finite
Data
Acquisition
A i iti
Data
Processing
P i
Geo-
Visualisation
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8. Background
GIS data life cycle
2nd Gen. : Cloud Source
Data
Acquisition
A i iti
Data
Processing
P i
Geo-
Visualisation
Openstreetmap
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9. Background
GIS data life cycle
3rd Gen. : Enhancing reality
g y
Data
Acquisition
q
Data Realistic
Processing view
Geo
Geo-
Visualisation
Openstreetmap
Real Accessible
time
ti
949
11. Background
Geovisualisation Trend – GIS data
2D 3D 3D + Realistic
3D
SHP DEM /DTM in real-time
Coverage 3D Model In real place
etc. etc. Enhancing reality
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12. Background
Geovisualisation Trend – GIS Uses
User Demand
Public Individual Context
Awareness
Policy
Decision Everyday Intelligent Cognition,
Cognition
Making technology Everyday technology,
Management
g and Calm technology
UIS StreetMap
(Urban Information System)
LIS Navigation
g
(Land Information System)
1249
13. Background
Short summary of new Geovisualisation trend
User demand
Pervasive
3D+Realistic Context
GIS Awareness
3D Intelligent cognition,
I t lli t iti
Embedded
E b dd d
in real-time Everyday technology,
Ubiquitous
&
In real place and Calm technology Computing
Micro
Enhancing reality
g y
1349
14. Background
Visualization for Ubiquitous Environment.
“Specialized elements of hardware and
software, connected by wires, radio waves
, y ,
and infrared, will be so ubiquitous that no
one will notice their presence”
p
(The Computer for the 21th Century, Mark Weiser, 1988)
1449
15. Background
Ubiquitous Space
The 1st Space Physical Space (Real space)
The 2nd Space Cyber Space (Virtual space)
Physical Space + Cyber Space = Linked Operating Space
y p y p p g p
Th 3rd S
The Space
(Ubiquitous Space)
Th 1st S
The Space Th 2nd S
The Space Th 3rd S
The Space
Space
(Real Space) (Virtual Space) (Ubiquitous Space)
Tech. Agriculture / Info.(IT, Computer) Space (Ubiquitous)
Revolution Industrial Revolution Revolution Revolution
Time 19th Century 20th Century 21st Century
• Ubiquitous IT revolution and the 3rd space, 2002, DH Kim 1549
16. Background
Ubiquitous Space
Internet
Location Based
Service
Invisible Embodied
I i ibl E b di d
Micro / Calm technology
Embedded
Intelligent
Devices
1649
18. Background
Geovisualisation in Ubiquitous Interface
• Geovisualisation beyond the desktop GIS, web GIS
(Fixed location, screen, k b d and mouse)
(Fi d l ti keyboard d )
• Requirements:
q
Handheld, Portable, Wearable Devices
Very different scales or styles of output
Implicit input – location time, context
location, time
1849
20. Background
Visualise Geo-objects in Ubiquitous Environment
RFID
Building
information RFIDs
RFID Street Tree
RFID managing RFIDs
RFID RFID
RFID
Car information
RFIDs
Traffic Lights
Managing RFIDs
Pipe managing
RFIDs
Communication
Cables
Water Pipes
Gas Pipes
2049
21. Research Question
• Can geovisualisation support the ubiquitous
environment?
• What is the best way to visualise intelligent geo-
objects in the ubiquitous environment?
j q
2149
22. Overall research aim
IT Visualisation
Ubiquitous computing Geovisualisation
GIS in Geovisualisation
Ubiquitous With AR
Computing
p g
How can we visualise geo objects in ubiquitous environments?
geo-objects
– Dynamic visualisation: real-time, instant
– Intuitive interface: Calm technology, awareness
gy,
– with Augmented Reality
2249
23. Research Objectives
GIS in Geovisualisation
G i li ti
Ubiquitous Computing With AR
• Select GIS data can be used with AR
• P id d
Provide dynamic & real-time GIS data
i l ti d t
visualization using AR
• D
Develop GIS b
l GIS-based augmented reality service
d t d lit i
2349
24. Literature review
• Geovisualisation
– Definition of visualisation, geovisualisation
visualisation
– Challenges for geovisualisation
• Augmented reality
– Definition of AR
– History of AR
– Applications
2449
25. Literature review
What is geovisualisation?
• Visualisation
• The formation of mental visual images, the act or process of
interpreting in visual terms (Classic definition)
• In 1987, McCormick proposed visualisation taxonomy
• Exploring data and information g p
p g graphically, as a means of g
y gaining
g
GIS
understanding and insight into the data with
All activities
Software &and Wiseman, 1992: Brodlie et al., 1993)
(Earnshaw GIS data
Hardware
• Geo + visualisation
– The first use of the term visualisation in cartographic literature
Interface
– Ten principles common to cartography and geography
(Philbrick, 1953)
– A set of tools and techniques supporting geospatial data analysis
through the use of interactive visualisation (K k and M
(Kraak d Maceachren, 1999)
h
2549
26. Literature review
Challenges for geovisualisation
• Paper maps were designed to be both database and
presentation media. (MacEachren and Kraak, 2000)
• 80% of all di it l d t generated t d i l d geospatial
f ll digital data t d today include ti l
referencing (e.g., geographic coordinates, address, postal
codes, etc.)
codes etc ) (MacEachren and Kraak 2000)
Kraak,
• Geovisualisation has the potential to provide ‘windows’
into the complexity of the phenomena and processes
involved, through innovative scene construction, virtual
environments and collaboration (MacEachren and Kraak, 2000)
• Two current keywords in geovisualisation: Interaction,
Dynamic (MacEachren, 1994)
2649
28. Literature review
Why Augmented Reality
• Intuitive: : A more intuitive interface to access complex real
world
• Real – time: Real world should be a back ground
• Dynamic: Dynamic features
• Instant: Quick response
• Link real and virtual world: Enhancing the real world
2849
29. Literature review
Definition of AR
• A combination of a real scene viewed by a user and
a virtual scene generated by a computer that
augments the scene with additional information.
(Azuma 1997; Azuma, Baillot, Behringer, Feiner, Julier & MacIntyre 2001)
2949
31. Literature review
A Brief History of AR
• 1960’s :
• Ivan E Sutherland
E.
• The ultimate display
The ultimate display would, of course, be a room
within which the computer can control the existence
of matter. A chair displayed in such a room would be
good enough to sit in.
…….
With appropriate programming, such a display could
literally be the Wonderland into which Alice walked
walked.
3149
32. Literature review
A Brief History of AR
• Early 1990’s : Boeing coined the term “AR” in its
Wire harness assembly application
(Anthony E. Majoros , Paul R. Jackson)
• Early 1990’s : UNC ultrasound project
y j
• 1994: Motion Stabilized display
3249
33. Literature review
A Brief History of AR
• 1994: Fiducial tracking in video see through AR
see-through
• 1996: UNC hybrid magnetic-vision tracker
• 2000: Augmented sports broadcasts
• 2009: Mobile AR ( o e 3GS, Android etc )
009 ob e (iPhone d o d etc.)
3349
34. Literature review
Components of augmented reality system
Component Type Description
Outdoor GPS
Positioning
Indoor 2D Tag, RFID
Digital Compass Direction of your sight (Horizontal)
User
Perspective
Accelerometers Angle of your sight (Vertical)
Optical see through Optical combiners in front of the user s eyes
user’s
Combining a closed-view HMD with one or
Display Video see through
two cameras
Combining virtual objects and real objects on
Monitor base
a monitor
3449
36. Literature review
Tag based augmented reality
• ARToolKit: Washington Univ. HIT lab
• ARTag: Columbia Univ
Univ.
• Library for tag-based AR applications
• Open Source, Multi-Platform
• Solves two significant p
g problems in AR
• Tracking
• Registration
• Overlays 3D virtual objects on real markers
• Uses single tracking marker
3649
39. Literature review
Mobile augmented reality
• 2009 was the turning point for mobile augmented
reality
• Combined Location Based Service (LBS)
• C
Capabilities of mobile d i
biliti f bil devices hhave i
improved
d
– Built in GPS, Digital Compass, Accelerometers
• Wireless communication widely used
– Improving positioning
– WiFi, 3G
3949
41. Initial Result
GIS ARMap
• Library : ARTag (2D tag-based)
– 2D rectangles with distinctive p
g patterns
• 3D data format
– 3D objects loaded from WRL (VRML) OBJ (Wavefront
(VRML), (Wavefront,
Maya), ASE (3D-Studio export)
4149
45. Conclusion and Future work
Conclusion
• Augmented reality in GIS
– Promising visualisation method for GIS data
– AR supports dynamic (time, location, user interface)
geovisualisation
– Need to improve positioning/ rendering technology
• GIS in Augmented reality
– Combine Location Based Service
–NNew fi ld with various challenges
field ith i h ll
– Need to select suitable GIS data for augmented reality
4549
46. Future work
Application Scenario
• AR Urban Information System
4649
47. Future work
Future work
• New user interface in static situation
– FLARTookit 2.0
20
• Image matching
– Visual Tag
– A l 3D t 2D T
Apply to Transformation
f ti
• Use tags as Ground Control Points (GCPs)
• Matching GIS data with real world
• Indoor positioning
– RFID
4749
48. Future work
Future work
3D 2D Tag
GIS With
Data Geo ref
3D t 2D
to
Transformation
2D Screen
4849
50. Future work
Application Scenario
• London Olympic 2012 with GIS AR (Olympic 2012 team)
Location Based
Future Sight Service
What’s going on
Service 5049
51. Future work
Future work
• Data acquisition
– POI data related to the Olympics
• Stadiums, tourist Information desks, ticket offices, etc.
– 3D model of the Olympic buildings
• Application Development
– 3D data on the Layar platform
– Using DBMS with Layar
• D
Develop more scenarios relating t th L d
l i l ti to the London
Olympics
5149