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Dawn Wright, Ph.D.
Esri Chief Scientist
George Mason University, September 16, 2015
Esri and the
Scientific Community
Esri View of Science
Societal drivers of science are key.
How the Earth
should look.
How we should
look at the Earth.
Increasing fundamental
scientific understanding
Enabling stewardship
of the environment
Promoting
economic vitality
Protecting life
and property
How the Earth works.
So Many Fundamental Science Questions…
Howwill climate change impact forest
composition, coastal habitats, etc.?
Whatfactors most affect the spread of
infectious diseases and invasive
species?
So Many Fundamental Science Questions…
Howmuch will sea level change on a range
of spatial and temporal scales?
Whatare the potential impacts?
Howto design coastal
infrastructure accordingly?
Strengthen science base at Esri …
Establish Esri as a member of the scientific community …
Agricultural Science
Hydrology
Ecology
Climate Science
Geology/Geophysics
Conservation Biology
Sustainability Science
/Geodesign
Forestry
Ocean Science
GIScience /
Computer Science
Recent Chief Scientist Summary
• Solidify launch of oceans initiative
• Further platform adoption among
scientists
• Scientific Boards & Councils
- EPA Science Advisory, NOAA Science Advisory, National Academy
of Sciences Ocean Studies Board, NSF Earth Cube Governance, NSF
Ocean Obs Research Coordination Network, Consortium for Ocean
Leadership, World Ocean Council, West Coast Governor’s Alliance
on Ocean Health, Conservation Intl Science Advisory Council,
UNESCO IOC IODE
• Esri Technology Integration Projects
- U. Illinois CyberGIS, Arizona State PySAL, Oregon State U. Adaptive
Map Projections, GMU (GDAL)
• Strategic Engagements
- World Bank GPO Blue Ribbon Panel, NOAA Ocean Exploration 2020,
Schmidt Ocean Institute
• Esri Distributor Support
- Esri Netherlands, Eagle Technology
esriurl.com/scicomm
•Python
•OPeNDAP (Open-source Project for a
Network Data Access Protocol)
•R (the R Project for Statistical
Computing)
Software Stacks for the Scientific
Community
• Pandas – provide high-performance,
easy-to-use data structures and data
analysis tools for working with tables in
Python
• SciPy - supports our goal of being a
comprehensive geospatial platform for
science by expanding the number and
type of analytical methods available to
the science community
• netCDF4 - provides programmatic
access for a popular scientific data
format
Inclusion of Additional Python Packages
HDF/netCDF/GRIB Data Warehouses ArcGIS Multidimensional
Mosaic Dataset
Enable ArcGIS Platform
Aggregate (mosaic) spatial, time, and vertical dimensions
• Create a seamless multidimensional cube from:
• files representing different regions
• files representing different time steps/slices
• Spatial Aggregation
• Temporal Aggregation
• On-the-fly analysis
17
Processing, analyzing, and visualizing NASA’s
scientific data
Matt & Brian Tisdale, Booz Allen Hamilton & NASA Atmospheric Science Data Center
Modeling with Raster function template (RFT)
ArcGIS Multidimensional Mosaic Dataset
Mosaic Index
Visualization
Spatial and Temporal Analysis
18
End-to-End Solution for Processing, Analyzing,
and Visualizing Data
On-the-fly
processing
• Orthorectification
• Image Algebra
• Statistics
• Reproject
• Remap
• Tassel Cap, etc.
Matt & Brian Tisdale, Booz Allen Hamilton & NASA Atmospheric Science Data Center
Movies
19
1 – Visualizing data (netCDF) in temporal and vertical dimensions. Data are Navy
Coastal Ocean Model (NCOM). Ocean current and sea surface temperature (SST)
are draped on a hillshaded sea temperature layer for a better visualization effect.
Current vectors are calculated and symbolized for each raster cell.
2 – Demo of an image service published with National Digital Forecast Data (NDFD)
of NOAA’s National Weather Service, 3-hour interval, 4-day-time event. The demo
shows a proof-of-concept of on-the-fly scientific computing capability with a
multidimensional mosaic dataset and image service. The heat index, wind chill,
and fire warning layers are computed on-the-fly from 3 variables added to the
mosaic dataset. The scientist can send a request with their algorithm to the server
which returns the computed result in seconds.
3 – A forthcoming new feature for scientific data. Adding one variable from netCDF,
GRIB, or HDF file will be just as easy as a simple drag-drop, and the layer is a
multidimensional raster.
Thanks to Esri Solution Engineers Hong Xu hxu@esri.com and Feroz Abdul Kadar
akferoz@esri.com
esriurl.com/landsat - 80,000 Landsat 8 scenes
esriurl.com/landsat
esriurl.com/landsat
esriurl.com/landsat
esriurl.com/landsat
esriurl.com/landsat
esriurl.com/landsat
esriurl.com/landsat
esriurl.com/landsat
esriurl.com/landsat
New R – ArcGIS Bridge and Community
• R is the most widely used, fastest growing statistical
analysis software
• Many organizations using ArcGIS also use R
• High interest in our existing R integration
• Who is this for?
- R users who want to work in R with easy, efficient access to
ArcGIS data
- R users who want to provide R analysis capabilities to ArcGIS
users
- ArcGIS users who don’t know R
esriurl.com/scicomm & r-arcgis.github.io
Resource Centers / Case Studies / Blogs
- Data and models can be downloaded
- Analysis and tools are defined by the
question - outlined at the start
- Processes shown, results are
interpreted
• Analysis from exploration to decision-making
demonstrated by example
esriurl.com/ocnres
esriurl.com/case
Roger Sayre, Ph.D.
Senior Scientist for Ecosystems
U.S. Geological Survey
rsayre@usgs.gov
Dawn Wright, Ph.D.
Chief Scientist
dwright@esri.com
Charlie Frye, M.A.
Chief Cartographer
Randy Vaughan, Ph.D.
Content Engineering Lead
Peter Aniello, M.E.
Content Engineering Team
Sean Breyer
ArcGIS Content Lead
Esri
A New Map of Global
Ecological Land Units
EC-01-C1: Global Ecosystem Classification and Mapping
Develop a standardized, robust, and practical global ecosystems
classification and map for the planet’s terrestrial, freshwater,
and marine ecosystems.
GEOSS Task EC-01-C1
Catalyze: Science  Planning  Management
Provide Globally Comparable
Understanding of: Changes, Impacts, Resilience
Value: Economic, Social, Goods & Services
Why Do We Need A Global Ecosystems Map?
Too many govt policies based on antiquated knowledge & tech
Ecological Land Classification
Water
Matter
Land Cover
Lithology
Bioclimate
Landforms
Energy
Ecological Land Classification …
not Ecological Classification
Anchor Publication
www.aag.org/global_ecosystems
Land Cover
Lithology
Landform
Bioclimate
Data Sources
(in order of ecological importance)
Global Environmental Stratification (GEnS) , U. of Edinburgh
USGS Global MultiRez Terrain Elevation 2010
Global Lithological Map (GLiM), Hamburg U.
GlobCover 2009, European Space Agency
Where We Started
~100,000 combinations of Bioclimate, Landform, Lithology,
and Land Cover
Where We Finished
Eliminated over 50,000 erroneous combinations, and created
an intuitive visualization
Land Cover
Lithology
Landform
Bioclimate
3,923 ELUs Mapped
Data Sources
(in order of ecological importance)
Landscape
Ecologists
Public
Resource
Managers
Geodesign
Planners
Authoritative
Classifications
Updated
Classifications
ArcGIS
Online
Workflows
Data Tools
esriurl.com/landscapermgsc.cr.usgs.gov/outgoing/ecosystems/Global
Data Served as ArcGIS Online Content
White Paper
esriurl.com/eluwhite
Value-Added Apps
esriurl.com/elu
Value-Added Apps
esriurl.com/ecotapestry
“This app shows how climate change is affecting the
world around you.” – Time magazine
https://shar.es/1tJj9K
“This app shows how climate change is affecting the
world around you.” – Time magazine
https://shar.es/1tJj9K
Once upon a time…
storymaps.arcgis.com
esriurl.com/analyticalstories
New Esri Press Books for Scientists
esripress.esri.com
Dawn Wright
dwright@esri.com
Twitter: @deepseadawn
Extra slides
esri.github.com/gis-tools-for-hadoop
Support for multiple
dimensions in WMS
implementation of ArcGIS
for Server…
SciPy stack integration
OpenDAP, netCDF, HDF,
GRIB1, GRIB2…
esriurl.com/multid
esriurl.com/multid2
Shareable Apps
Creative Ideas
Innovative Methods
Open Data
Many Participants
Governments
Startups / Developers
Businesses
Academics & NGO’s
Building a Resilient Platform
esriurl.com/resilientcomm
esri.com/climate-app / esriurl.com/climateapp2
resilience.maps.arcgis.com
Making Communities More Resilient
Climate Resilience
Big Data
Open Source
- Geoportal Server, ArcGIS Editor for Open
StreetMap, Flex Viewer
- Esri DC Research & Development Center
- Blog posts: bit.ly/O4hLXL , blog.geoiq.com
- Blog post: bit.ly/RV2JDO
geoss.esri.com
esriurl.com/zotero

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Esri and the Scientific Community

  • 1. Dawn Wright, Ph.D. Esri Chief Scientist George Mason University, September 16, 2015 Esri and the Scientific Community
  • 2. Esri View of Science Societal drivers of science are key. How the Earth should look. How we should look at the Earth. Increasing fundamental scientific understanding Enabling stewardship of the environment Promoting economic vitality Protecting life and property How the Earth works.
  • 3. So Many Fundamental Science Questions… Howwill climate change impact forest composition, coastal habitats, etc.? Whatfactors most affect the spread of infectious diseases and invasive species?
  • 4. So Many Fundamental Science Questions… Howmuch will sea level change on a range of spatial and temporal scales? Whatare the potential impacts? Howto design coastal infrastructure accordingly?
  • 5. Strengthen science base at Esri … Establish Esri as a member of the scientific community … Agricultural Science Hydrology Ecology Climate Science Geology/Geophysics Conservation Biology Sustainability Science /Geodesign Forestry Ocean Science GIScience / Computer Science
  • 6. Recent Chief Scientist Summary • Solidify launch of oceans initiative • Further platform adoption among scientists • Scientific Boards & Councils - EPA Science Advisory, NOAA Science Advisory, National Academy of Sciences Ocean Studies Board, NSF Earth Cube Governance, NSF Ocean Obs Research Coordination Network, Consortium for Ocean Leadership, World Ocean Council, West Coast Governor’s Alliance on Ocean Health, Conservation Intl Science Advisory Council, UNESCO IOC IODE • Esri Technology Integration Projects - U. Illinois CyberGIS, Arizona State PySAL, Oregon State U. Adaptive Map Projections, GMU (GDAL) • Strategic Engagements - World Bank GPO Blue Ribbon Panel, NOAA Ocean Exploration 2020, Schmidt Ocean Institute • Esri Distributor Support - Esri Netherlands, Eagle Technology
  • 8.
  • 9. •Python •OPeNDAP (Open-source Project for a Network Data Access Protocol) •R (the R Project for Statistical Computing) Software Stacks for the Scientific Community
  • 10. • Pandas – provide high-performance, easy-to-use data structures and data analysis tools for working with tables in Python • SciPy - supports our goal of being a comprehensive geospatial platform for science by expanding the number and type of analytical methods available to the science community • netCDF4 - provides programmatic access for a popular scientific data format Inclusion of Additional Python Packages
  • 11. HDF/netCDF/GRIB Data Warehouses ArcGIS Multidimensional Mosaic Dataset Enable ArcGIS Platform Aggregate (mosaic) spatial, time, and vertical dimensions • Create a seamless multidimensional cube from: • files representing different regions • files representing different time steps/slices • Spatial Aggregation • Temporal Aggregation • On-the-fly analysis 17 Processing, analyzing, and visualizing NASA’s scientific data Matt & Brian Tisdale, Booz Allen Hamilton & NASA Atmospheric Science Data Center
  • 12. Modeling with Raster function template (RFT) ArcGIS Multidimensional Mosaic Dataset Mosaic Index Visualization Spatial and Temporal Analysis 18 End-to-End Solution for Processing, Analyzing, and Visualizing Data On-the-fly processing • Orthorectification • Image Algebra • Statistics • Reproject • Remap • Tassel Cap, etc. Matt & Brian Tisdale, Booz Allen Hamilton & NASA Atmospheric Science Data Center
  • 13. Movies 19 1 – Visualizing data (netCDF) in temporal and vertical dimensions. Data are Navy Coastal Ocean Model (NCOM). Ocean current and sea surface temperature (SST) are draped on a hillshaded sea temperature layer for a better visualization effect. Current vectors are calculated and symbolized for each raster cell. 2 – Demo of an image service published with National Digital Forecast Data (NDFD) of NOAA’s National Weather Service, 3-hour interval, 4-day-time event. The demo shows a proof-of-concept of on-the-fly scientific computing capability with a multidimensional mosaic dataset and image service. The heat index, wind chill, and fire warning layers are computed on-the-fly from 3 variables added to the mosaic dataset. The scientist can send a request with their algorithm to the server which returns the computed result in seconds. 3 – A forthcoming new feature for scientific data. Adding one variable from netCDF, GRIB, or HDF file will be just as easy as a simple drag-drop, and the layer is a multidimensional raster. Thanks to Esri Solution Engineers Hong Xu hxu@esri.com and Feroz Abdul Kadar akferoz@esri.com
  • 14. esriurl.com/landsat - 80,000 Landsat 8 scenes
  • 24. New R – ArcGIS Bridge and Community • R is the most widely used, fastest growing statistical analysis software • Many organizations using ArcGIS also use R • High interest in our existing R integration • Who is this for? - R users who want to work in R with easy, efficient access to ArcGIS data - R users who want to provide R analysis capabilities to ArcGIS users - ArcGIS users who don’t know R
  • 26. Resource Centers / Case Studies / Blogs - Data and models can be downloaded - Analysis and tools are defined by the question - outlined at the start - Processes shown, results are interpreted • Analysis from exploration to decision-making demonstrated by example esriurl.com/ocnres esriurl.com/case
  • 27. Roger Sayre, Ph.D. Senior Scientist for Ecosystems U.S. Geological Survey rsayre@usgs.gov Dawn Wright, Ph.D. Chief Scientist dwright@esri.com Charlie Frye, M.A. Chief Cartographer Randy Vaughan, Ph.D. Content Engineering Lead Peter Aniello, M.E. Content Engineering Team Sean Breyer ArcGIS Content Lead Esri A New Map of Global Ecological Land Units
  • 28. EC-01-C1: Global Ecosystem Classification and Mapping Develop a standardized, robust, and practical global ecosystems classification and map for the planet’s terrestrial, freshwater, and marine ecosystems. GEOSS Task EC-01-C1
  • 29. Catalyze: Science  Planning  Management Provide Globally Comparable Understanding of: Changes, Impacts, Resilience Value: Economic, Social, Goods & Services Why Do We Need A Global Ecosystems Map? Too many govt policies based on antiquated knowledge & tech
  • 30. Ecological Land Classification Water Matter Land Cover Lithology Bioclimate Landforms Energy
  • 31. Ecological Land Classification … not Ecological Classification
  • 33. Land Cover Lithology Landform Bioclimate Data Sources (in order of ecological importance) Global Environmental Stratification (GEnS) , U. of Edinburgh USGS Global MultiRez Terrain Elevation 2010 Global Lithological Map (GLiM), Hamburg U. GlobCover 2009, European Space Agency
  • 34. Where We Started ~100,000 combinations of Bioclimate, Landform, Lithology, and Land Cover
  • 35. Where We Finished Eliminated over 50,000 erroneous combinations, and created an intuitive visualization
  • 36. Land Cover Lithology Landform Bioclimate 3,923 ELUs Mapped Data Sources (in order of ecological importance)
  • 40.
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  • 46. “This app shows how climate change is affecting the world around you.” – Time magazine https://shar.es/1tJj9K
  • 47. “This app shows how climate change is affecting the world around you.” – Time magazine https://shar.es/1tJj9K
  • 48. Once upon a time…
  • 51. New Esri Press Books for Scientists esripress.esri.com
  • 54.
  • 56. Support for multiple dimensions in WMS implementation of ArcGIS for Server… SciPy stack integration OpenDAP, netCDF, HDF, GRIB1, GRIB2… esriurl.com/multid esriurl.com/multid2
  • 57. Shareable Apps Creative Ideas Innovative Methods Open Data Many Participants Governments Startups / Developers Businesses Academics & NGO’s Building a Resilient Platform esriurl.com/resilientcomm esri.com/climate-app / esriurl.com/climateapp2 resilience.maps.arcgis.com Making Communities More Resilient Climate Resilience
  • 58. Big Data Open Source - Geoportal Server, ArcGIS Editor for Open StreetMap, Flex Viewer - Esri DC Research & Development Center - Blog posts: bit.ly/O4hLXL , blog.geoiq.com - Blog post: bit.ly/RV2JDO