To grid or not to grid

•

2 j'aime•670 vues

AGI #GeoComm2017 Lightning Talk AGI thank you note: http://bit.ly/2yf66Sk

Données & analyses

To Grid or
not to Grid?
Andrew Zolnai
zolnai.ca
Geocomm 2017
Wikimedia and
andretchaikowsky.com

Scalable grids
Proto-GIS (1988) DB2 Spatial (2006)
bit.ly/2xA7q5H

Tesselation grids
Geodyssey (1992) Pyxis (current) what3words
bit.ly/2xWXXX5 bit.ly/2xk29iR map.what3words.com

NADM (2002) Cordilleran geology
Spatial object models
on.doi.gov/2wbdv4S
arcg.is/2waqrYI

Non spatial addressing
Postal address clean-up
bit.ly/2waZ0y1 bit.ly/2pyNGri

Open standards
bit.ly/2fF9a3O
One of the core contributions of a DGGS is
geospatial data fusion on demand. In a multiple
provider environment, fusion is only possible
with an information system architecture based
upon open standards. The OGC DGGS Abstract
Specification provides a platform to enable
interoperability within and between different
DGGS implementations while promoting
reusability, knowledge exchange, and choices in
the design of individual DGGS implementations.
ow.ly/JeXK30g5EHW

When is a map not a map?
“Real-time mapping without the drift”
bit.ly/1Y8M2bi

Or when is a map not possible?
Former Soviet Union, West Siberia 2002
Bearing Distance
deg min sec m
2 30 0 2000
358 20 0 5500
5 10 0 22500
7 30 0 2000
355 40 0 1500
272 30 0 4000
281 10 0 6000
268 30 0 6500
180 0 0 7500

Modern geolocationAre coordinates, projection, datum
etc. always à-propos?
Are there better frameworks for
real-time crowd-mapping?
Do robotics ‘think’ or work in
Cartesian space?
Are base 2 or 10 the best there is?
How about ‘good enough’ or ‘close
enough’ computation?
Bonus
Tales from the geodetic crypt
bit.ly/2xlBh1Y

Thank you!
Questions?
Andrew Zolnai
@azolnai

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Gen AI on Enterprise Cloud Apache NiFi Milvus Apache Kafka Apache Flink Cloudera Machine Learning Cloudera DataFlow https://medium.com/@tspann/building-a-milvus-connector-for-nifi-34372cb3c7fa https://www.meetup.com/futureofdata-princeton/events/300737266/ https://lu.ma/q7pcfyjn?source=post_page-----34372cb3c7fa--------------------------------&tk=TTyakY If you're interested in working with Generative AI on the cloud, this virtual workshop is for you. Tim Spann from Cloudera and Yujian Tang from Zilliz will cover how you can implement your own GenAI workflows on the cloud at enterprise scale. 9:00 - 9:05: Intro 9:05 - 9:15: What is Milvus 9:15 - 9:25: Cloudera Development Platform 9:25 - 10:00: Demo Location https://www.youtube.com/watch?v=IfWIzKsoHnA https://github.com/tspannhw/SpeakerProfile https://www.linkedin.com/in/yujiantang/

Generative AI on Enterprise Cloud with NiFi and Milvus

Generative AI on Enterprise Cloud with NiFi and Milvus

Generative AI on Enterprise Cloud with NiFi and Milvus

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Probability Grade 10 Third Quarter Lessons

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To grid or not to grid

1. To Grid or not to Grid? Andrew Zolnai zolnai.ca Geocomm 2017 Wikimedia and andretchaikowsky.com

2. Scalable grids Proto-GIS (1988) DB2 Spatial (2006) bit.ly/2xA7q5H

3. Tesselation grids Geodyssey (1992) Pyxis (current) what3words bit.ly/2xWXXX5 bit.ly/2xk29iR map.what3words.com

4. NADM (2002) Cordilleran geology Spatial object models on.doi.gov/2wbdv4S arcg.is/2waqrYI

5. Non spatial addressing Postal address clean-up bit.ly/2waZ0y1 bit.ly/2pyNGri

6. Open standards bit.ly/2fF9a3O One of the core contributions of a DGGS is geospatial data fusion on demand. In a multiple provider environment, fusion is only possible with an information system architecture based upon open standards. The OGC DGGS Abstract Specification provides a platform to enable interoperability within and between different DGGS implementations while promoting reusability, knowledge exchange, and choices in the design of individual DGGS implementations. ow.ly/JeXK30g5EHW

7. When is a map not a map? “Real-time mapping without the drift” bit.ly/1Y8M2bi

8. Or when is a map not possible? Former Soviet Union, West Siberia 2002 Bearing Distance deg min sec m 2 30 0 2000 358 20 0 5500 5 10 0 22500 7 30 0 2000 355 40 0 1500 272 30 0 4000 281 10 0 6000 268 30 0 6500 180 0 0 7500

9. Modern geolocationAre coordinates, projection, datum etc. always à-propos? Are there better frameworks for real-time crowd-mapping? Do robotics ‘think’ or work in Cartesian space? Are base 2 or 10 the best there is? How about ‘good enough’ or ‘close enough’ computation? Bonus Tales from the geodetic crypt bit.ly/2xlBh1Y

10. Thank you! Questions? Andrew Zolnai @azolnai