Apache Sedona Community Call slides Part 1

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This document summarizes the first Sedona Community Call on October 22, 2022. It provides an outline of topics to be covered, including a history and overview of Sedona by Mohamed Sarwat, and the Sedona roadmap and community updates by Jia Yu. The call concludes with an open discussion and Q&A section. Recent major updates to Sedona are highlighted, such as raster data support and new interfaces in Python and R. The Sedona roadmap focuses on improving compatibility with PostGIS standards, supporting additional spatial data formats like GeoParquet, and expanding functionality in Python and R. Community members are encouraged to get involved by following Sedona on Twitter, joining the mailing list, contributing documentation or code,

Software

First Sedona Community Call
Oct 22, 2022
1

Outline
Sedona PPMC
Sedona history and overview
(Mo Sarwat)
Sedona roadmap and community
(Jia Yu)
2
Open discussion and Q & A

Apache Sedona
• Podling Project Management Committee (PPMC)
4
Name Apache ID Country
Adam Binford kimahriman@apache.org USA
Kanchan Chowdhury kanchanchy@apache.org USA
Paweł Kociński imbruced@apache.org Poland
Yitao Li yitaoli@apache.org Canada
Netanel Malka malka@apache.org Israel
Mohamed Sarwat mosarwat@apache.org USA
Kengo Seki sekikn@apache.org Japan
Sachio Wakai swakai@apache.org Japan
Jinxuan Wu jinxuanw@apache.org USA
Jia Yu jiayu@apache.org USA
Zongsi Zhang zongsizhang@apache.org Singapore

Apache Sedona mentors
5
Name Apache id
Felix Cheung felixcheung@apache.org
Von Gosling vongosling@apache.org
Jean-Baptiste Onofré jbonofre@apache.org
George Percivall percivall@apache.org
Sunil Govindan sunilg@apache.org

Outline
Sedona history and overview
(Mo Sarwat)
6

Outline
Sedona roadmap and community
(Jia Yu)
7

Recent major updates
• Raster data manipulation on DataFrame/SQL (Sedona v1.1.0)
• GeoTiff I/O
• Map Algebra
8
Read GeoTiff
Work on a band
Visualize the images

Recent major updates
• Sedona R interface, available on CRAN (Sedona v1.1.0, Spark only)
• DataFrame/SQL API
• RDD API
9
Read SpatialRDD and DataFrame
Run SpatialSQL

Recent major updates
• Sedona now supports Spark 2.4 – 3.3, Flink 1.12+
• Spark 2.4 support to be dropped in Sedona 1.3.0
• Apache Flink
• Table API
• DataStreamAPI
10
Spatial Table to Spatial DataStream Create Spatial DataStream
Run SpatialSQL

Sedona Roadmap
1. PostGIS / OGC standard compatibility
• Same behavior
• E.g., ST_Transform
• More ST functions (99 ST functions and 22 RS functions so far)
• We need help!
11

Sedona Roadmap
2. More spatial data formats
• GeoParquet
• GeoParquet read/write to be released in Sedona 1.3.0
• TODO: GeoParquet filter pushdown, Bbox
• Raster format support
• SAR imagery
12

Sedona Roadmap
3. More functions in Sedona Python and R
• Sedona Python is the most heavily used wrapper
• 600K downloads and top 1% on PyPi
• Sedona R needs more wrappers to cover functions implemented in
Sedona Scala/Java
• E.g., GeoTiff and GeoParquet DataFrame I/O in R
13

Sedona Roadmap
• 4. More data warehouse / data lake support
• 5. What else?
14

Get involved in Sedona community
• Follow our Twitter @ApacheSedona
• Mailing list (preferred): dev@sedona.apache.org
• Send an email now to dev-subscribe@sedona.apache.org
• Leave the subject and content blank
• Gitter: https://gitter.im/apache/sedona
• Gitter is dying. Move to Discord.
15

Contribute to Sedona
• Any contribution is welcome!
• Documentation
• Create a PR directly: [DOCS] XXX
• Examples
• Create a PR directly: [DOCS] XXX
• Python Jupyter notebook: binder/contrib
• Scala/Java: examples/
• Make sure these examples are runnable
16

Contribute to Sedona
• New features and bug fixes
• Create a ticket on JIRA: https://issues.apache.org/jira/projects/SEDONA
• Starting from Nov. 6th, ASF requires new JIRA users must be added by
PMC manually, due to spam issues
• Please post an email on dev@sedona to add you to JIRA
• Read Contributor guides: https://sedona.apache.org/community/develop/
• Create a PR: [SEDONA-111] XXX
• Make sure your PR passes GitHub Actions
17

This document discusses how Apache Sedona can be used to process large amounts of geospatial agricultural data with Spark. It describes how Sedona provides geospatial types and functions that allow for efficient indexing, partitioning, and processing of spatial data at scale. Examples are given of how Sedona could be used with Spark ML to cluster points in a field based on attributes and generate polygons from those points. The document encourages registering with Leaf Agriculture to access their geospatial APIs and start building applications using Sedona and Spark to analyze large agricultural datasets.

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Apache Sedona Community Call slides Part 1

1. First Sedona Community Call Oct 22, 2022 1

2. Outline Sedona PPMC Sedona history and overview (Mo Sarwat) Sedona roadmap and community (Jia Yu) 2 Open discussion and Q & A

3. Outline Sedona PPMC 3

4. Apache Sedona • Podling Project Management Committee (PPMC) 4 Name Apache ID Country Adam Binford kimahriman@apache.org USA Kanchan Chowdhury kanchanchy@apache.org USA Paweł Kociński imbruced@apache.org Poland Yitao Li yitaoli@apache.org Canada Netanel Malka malka@apache.org Israel Mohamed Sarwat mosarwat@apache.org USA Kengo Seki sekikn@apache.org Japan Sachio Wakai swakai@apache.org Japan Jinxuan Wu jinxuanw@apache.org USA Jia Yu jiayu@apache.org USA Zongsi Zhang zongsizhang@apache.org Singapore

5. Apache Sedona mentors 5 Name Apache id Felix Cheung felixcheung@apache.org Von Gosling vongosling@apache.org Jean-Baptiste Onofré jbonofre@apache.org George Percivall percivall@apache.org Sunil Govindan sunilg@apache.org

6. Outline Sedona history and overview (Mo Sarwat) 6

7. Outline Sedona roadmap and community (Jia Yu) 7

8. Recent major updates • Raster data manipulation on DataFrame/SQL (Sedona v1.1.0) • GeoTiff I/O • Map Algebra 8 Read GeoTiff Work on a band Visualize the images

9. Recent major updates • Sedona R interface, available on CRAN (Sedona v1.1.0, Spark only) • DataFrame/SQL API • RDD API 9 Read SpatialRDD and DataFrame Run SpatialSQL

10. Recent major updates • Sedona now supports Spark 2.4 – 3.3, Flink 1.12+ • Spark 2.4 support to be dropped in Sedona 1.3.0 • Apache Flink • Table API • DataStreamAPI 10 Spatial Table to Spatial DataStream Create Spatial DataStream Run SpatialSQL

11. Sedona Roadmap 1. PostGIS / OGC standard compatibility • Same behavior • E.g., ST_Transform • More ST functions (99 ST functions and 22 RS functions so far) • We need help! 11

12. Sedona Roadmap 2. More spatial data formats • GeoParquet • GeoParquet read/write to be released in Sedona 1.3.0 • TODO: GeoParquet filter pushdown, Bbox • Raster format support • SAR imagery 12

13. Sedona Roadmap 3. More functions in Sedona Python and R • Sedona Python is the most heavily used wrapper • 600K downloads and top 1% on PyPi • Sedona R needs more wrappers to cover functions implemented in Sedona Scala/Java • E.g., GeoTiff and GeoParquet DataFrame I/O in R 13

14. Sedona Roadmap • 4. More data warehouse / data lake support • 5. What else? 14

15. Get involved in Sedona community • Follow our Twitter @ApacheSedona • Mailing list (preferred): dev@sedona.apache.org • Send an email now to dev-subscribe@sedona.apache.org • Leave the subject and content blank • Gitter: https://gitter.im/apache/sedona • Gitter is dying. Move to Discord. 15

16. Contribute to Sedona • Any contribution is welcome! • Documentation • Create a PR directly: [DOCS] XXX • Examples • Create a PR directly: [DOCS] XXX • Python Jupyter notebook: binder/contrib • Scala/Java: examples/ • Make sure these examples are runnable 16

17. Contribute to Sedona • New features and bug fixes • Create a ticket on JIRA: https://issues.apache.org/jira/projects/SEDONA • Starting from Nov. 6th, ASF requires new JIRA users must be added by PMC manually, due to spam issues • Please post an email on dev@sedona to add you to JIRA • Read Contributor guides: https://sedona.apache.org/community/develop/ • Create a PR: [SEDONA-111] XXX • Make sure your PR passes GitHub Actions 17

18. Outline 18 Open discussion and Q & A

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