• Presenter Names
Presentation Title
Billie Leff, Esri Professional Services
Joetta Kreck, US Army Geospatial Center
21st Century Organizational Mapping Trends
Evolution of Map Products
Print Maps
Mobile, Web and
Vector Tile MapsPDFs on the Web, Data Visualizations
and Dashboards
Content Portrayal
Mapping Trend Context
Vector Portrayal
Standards Prototyping
Cartographic Review &
Standards Prototyping
21st Century Organizational Mapping Trends
Print Maps
Content Portrayal
1. From print to digital
2. From rules and requirements to best practices
3. From custom and COTS to cross-platform
Mobile, Web and
Vector Tile MapsPDFs on the Web, Data Visualizations
and Dashboards
Mapping Evolution 1: Print to Digital
Driven by…
• Evolution of technology
Mapping Evolution 1: Print to Digital
Driven by…
• Evolution of technology
• Need for disconnected field use
Easy to interpret multi-scale, vector topographic
maps for day, dusk and night
Multi-scale, vector topographic maps with
extractable component contours and land
use/cover
Mapping Evolution 1: Print to Digital
Driven by…
• Evolution of technology
• Need for disconnected field use
• Need for crisper and performant graphics
Mapping Evolution 1: Print to Digital
What comes along with it…
• Vector tiles rather than raster cache
• Multi-scale rather than single-scale maps
• Lots of data rather than single authoritative source
• Efficient cartographic data models
• Performant and simple rather than detailed products
TLM Print SpecMixed Forest
Digital TM ConceptMixed Forest
• Don’t stop at publishing existing print products
• Not all at once
• Focus on business use cases
• Prioritize
• Use what you got and make what matters
How Do Organizations “Handle” Print to Digital?
Business
TechnologyAgile
Mapping Evolution 2: Rules/Requirements to Best Practices
Driven by…
• Map use is pervasive
Mapping Evolution 2: Rules/Requirements to Best Practices
Driven by…
• Map use is pervasive
• Everyone is a “Cartographer”
• Maps are defined by users and use cases
AIR BLO END LIN OTH
DIV
Mapping Evolution 2: Rules/Requirements to Best Practices
What comes along with it…
• Use cases rather than requirements
Existing
As the wilderness fire Communications
Specialist, I need to easily identify the
infrastructure I am responsible for maintaining.
As the Army Guidance Support Specialist, I
need to prioritize airplane landing sites at a
predefined location around the world.
Mapping Evolution 2: Rules/Requirements to Best Practices
What comes along with it…
• Use cases rather than requirements
• Intuitive rather than production manual
• Using semiology and dual encoding
rather than single symbol for everything
Proposed
As the wilderness fire Communications
Specialist, I need to easily identify the
infrastructure I am responsible for maintaining.
As the Army Guidance Support Specialist, I
need to prioritize airplane landing sites at a
predefined location around the world.
What helps organizations abandon rules for best practices?
• Understand and always use business use cases
• Use iterative workflows
What helps organizations abandon rules for best practices?
• Understand and always use business use cases
• Use iterative workflows
• Prioritize and balance
• Have internal support
Business
TechnologyAgile Diversity
Mapping Evolution 3: Data to Portrayal Driven
Driven by…
• Need for interoperability
• Need for consistent look and feel
• Need for quick interpretation
GGDM
NGA
Open Source
MGCP
Commercial
Mapping Evolution 3: Data to Portrayal Driven
F_CODE = 'AP030' AND
PCF IN (2,-999999) AND
ZI016_WTC IN (1,4, -999999) AND
ZI016_ROC IN (7,8,9,10,11,12,-999999) AND
(THR IN (1001) OR
RTY IN (1,2) OR
LTN >=4 OR
SEP IN (1001) OR
MES IN (1001))
Hardsurface
Loosesurface
Not intactFair weather
Existing
Mapping Evolution 3: Data to Portrayal Driven
Feature = Road AND
Importance = Primary AND
Condition = Hard surface
Hardsurface
Loosesurface
Not intact
Proposed
Mapping Evolution 3: Data to Portrayal Driven
Mapping Evolution 3: Data to Portrayal Driven
What comes along with it…
• Taxonomy which can grow rather than predefined symbology
Dual encoding at
small scale
Feature labeling at
larger scale
No labeling or dual encoding at
largest scale
Mapping Evolution 3: Data to Portrayal Driven
What comes along with it…
• Taxonomy which can grow rather than predefined symbology
• New workflows which allow you to go from any data to a predefined portrayal
Source data
e.g. GGDM composite
Carto DB
Portrayal
DB
Multi-scale and multi-format
digital vector portrayal
Data generalization,
conflation and other tools
Mapping Evolution 3: Data to Portrayal Driven
What comes along with it…
• Taxonomy which can grow rather than predefined symbology
• New workflows which allow you to go from any data to a predefined portrayal
• Cartographic data models optimized for symbology and labeling
• Portrayal database rather than production procedures
What Helps Move from Data to Portrayal in Map Operations?
• Use cases and iterative workflows
• Line your ducks in a row but be flexible and plan for interoperability
• Know your organization and its change tolerance
• Recognize what you are not changing
Business
TechnologyAgile Diversity
21st Century Organizational Mapping Trends
Rules and Requirements
Technology-based
Digital
Best Practices
Cross Platform
1. Re-evaluate business use cases from scratch
2. Use Agile portrayal development methods
3. Create flexible cross-platform portrayal systems