Project FairHair
– A GLOBAL GEOINFORMATION DEMONSTRATION PROJECT Japanese proverb: “Vision without action is a daydream, action without vision is a nightmare”
Illustration: © Colorado University. Surface Elevation on the 10242 Spherical Geodesic Grid Lars From BlueTooth to FairHair BLUETOOTH FAIRHAIR wireless technology standard for exchanging geodata exchange standard using Discrete Global data over short distances. Grid Systems
Named after King Harald Bluetooth, the king who ruled Named after King Harald Fairhair (Old Norse: Haraldr over all tribes in Denmark from the year 958 and then Hárfagri), the king who united Norway from the year 872. managed to conquer parts of Norway, making all the different tribes communicate and unite. The unification of Norway by Harald Fairhair begins with a marriage proposal that resulted in rejection from Gyda. As Jim Kardach developed the technology and managed Whom refused to marry him "before he was king over all of to enable different kinds of devices to communicate Norway". Harald hence took a vow not to cut nor comb his wirelessly, he called it Bluetooth, because hair until Norway was united. His realm included part of the technology and King Bluetooth had the same Sweden, Scottish and Danish Islands. The project is called purpose — unity and communication among different Fairhair, because the technology to be developed and King groups. Fairhair share the same goal – connecting island and seas. The Bluetooth logo is the combination of “H” and “B,” The Fairhair logo is “H” and “H,” the initials of Haraldr the initials of Harald Bluetooth, written in the ancient Hárfagri, written in the ancient letters called “runes.” letters used by Vikings, which are called “runes.” OGC DGGS for Dummies
The railroad standard for grids The Minecraft rules
R 1 Reference frame and algorithms R 8 Equal area R 2 Domain completeness R 9 Initial tessellation R 3 Position uniqueness R 10 Refinement method R 4 Resolutions R 11 Spatial reference R 5 Successive completeness R 12 Unique addresses R 6 Cell shape R 13 Cell location R 7 Cell area R 14 Quantization methods The Pokémon Go of grids
R 15 Navigation operations R 16 Spatial analysis The Black Box rules
R 17 Data query R 18 Data transfer DGGRID
• open source software for generating ISEA3H and other DGGSs
• developed by Southern Oregon University for the U.S. Environmental Protection Agency
• first public version released in 2003
• version 6.4 released September 2018
• grid products used in over 60 scientific papers
Kevin Index for initial
experiments
j axis (58.28°N, 11.25°E)
i axis
Figure 1. A 2D hexagonal coordinate Figure 2. The internal indexing used by DGGRID decomposes the system. The system is rotated 60° icosahedron into 10 pairs of icosahedron faces (numbered 1-10), clockwise from the normal orientation (with with each pair indexed using a 2D hexagonal coordinate system Kevinthe i axis horizontal) to align with the (Figure 1). Two singleton pentagons are left over, and are treated as orientation in Figure 2. single-cell coordinate systems (numbered 0 and 11). The grid challenge
• The hall of grids
• The hexy thing to do
• In alpabetical order… Albania
Ervin Aust ria
Ingrid Estoni a
Ülle Finlan d
Rina Franc e
Vincent Haiti (+Rwanda and Pakistan) Data Copy righ t US Cens us
Vilni Sweden and Kenya
Jerker Portu gal
Ana and Isabel Mozambique, Gaza province
Charles Norway And Kyrgyzstan
FAIRHAIR
Vilni Romania
Daniel Slovenia
Igor Turkey
Birkan South KoreaGeneration of Hexagon Based Population
• Sources of population data
◦ All for 2017 September, from population registry
◦ Building address level population points Original data provider doesn’t permit its use for the GFGS project. So, we used it only for quality check.
◦ 100m square grid based population data At present, some portion of this data is masked due to confidentialty issues
◦ 500m square grid (blue in the map) based population data We had access to the unmasked version of this data. So we used this data to produce 1km2 hexagon based population data
Myung-Hwa South KoreaGeneration of Hexagon Based Population
• Methods to create hexagon population from 500m square grid one
◦ Method1. Centroid approach
- Aggregation based on 500m square grid centroids
◦ Method2. Area-based interpolation
- Disaggregation of 500m square grid population based on the area of intersections between a square and its overlapping hexagon with an assumption of uniform distribution of population in a grid cell
- The final value of population was scaled up to the nearest integer • Internally created hexagon population from building-level population points to compare outputs from Method 1 and Method 2
◦ Chose the one with a lower square root of sum of squares of deviations. Myung-Hwa South KoreaHexagon Based Total
OutputPopulation from Centroid Method Output from Area-based Interpolation Comparison from Square root Aggregation of of Building address Sum of level population Squares of points Deviations Method 1 (Centroid) 287,944.9
Method 2 (Areal Int.) 213,142.3
White – No Pop
The output from method 2 Myung-Hwa Was the final choice. South KoreaHexagon Based Total Population From Area- based Interpolation - A FewWhite – No Pop Metropolitan areas Sejong & Dae-Jeon
Ulsan Seoul, In-Cheon & Kyunggi Myung-Hwa & Busan Conclusions
• We did it. It can be done – fast
• Still some room for improvements
• Explore different grid levels
• Explore Global Table Joining Service
• Need to test libraries of grid algorithms Thank you!