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Neo4jSpatial
Craig Taverner
Neo Technology / AmanziTel
#neo4j
@craigtaverner
craig@amanzi.com
Web Map Data with Neo4j-Spatial
and OpenStreetMap
Where are the Mushrooms?
Where are the Mushrooms?
NoSQL
Not Only SQLNot Only SQL
NOSQL data models
Bigtable clones
Key-value stores
Document
databases
Graph databases
Data complexity
Datasize
Points
Points
Points Point, LineString,
Polygon, MultiPolygon,
Geoprocessing,
OpenStreetMap
Neo4j – Nodes, Relationships, Properties
Nodes have different properties
Matrix characters: People vs. Programs
Build structure as you go
Who loves Neo?
Neo4j Spatial 2010
GSoC 2010
Core
Storage, GeometryEncoder
Search/RTree, Operations
I/O (Shapefile)
Extensions
Geotools Datastore
GeoServer & uDig
Ruby API
neo4j-spatial.rb (Rubygem)
OpenStreetMap
Import OSM, Dynamic Layers (JSON & CQL)
Export Shapefiles, and SLD styled PNG
Neo4j OSM in uDig
OpenStreetMap
OpenStreetMap
OpenStreetMap
OpenStreetMap
OSM
RTree
namic
ayers
Dynamic
Layers
Routing on OSM
Neo4j-Spatial 2011
OSM
Performance
Changesets and Users
Geoprocessing
LBS and SimplePointLayer
Routing OSM
GSoC 2011 – Geoprocessing functions
Data Mining OSM
What's next
Geoprocessing pipeline
Cool domains: artistic maps
Finding things close to other things
http://blog.neo4j.org/2011/03/neo4j-spatial-part1-finding-things.html
Finding things close to other things
http://blog.neo4j.org/2011/03/neo4j-spatial-part1-finding-things.html
Routing with OSM
Data Mining OSM
timestamp > 1207014810000 and timestamp < 1208310810000 and
(
user = 'Zenon' or user = 'tomasCY' or user = 'muffu' or
user = 'dcp' or user = 'cartOMike' or user = 'djanda' or
user = 'Peter14' or user = 'toaster' or user = 'user_7363' or
user = 'lyx'
)
Artistic Maps
Artistic Maps
Artistic Maps
Cellular Network Topology
Cellular Network Topology
ID Site Latitude Longitude
1 ABC 55.678 12.567
2 XYZ 55.890 12.123
3 PRQ 55.543 12.890
ID Sector SiteID Azimuth Beamwidth
1 1 1 0 100
2 2 1 120 100
3 3 1 240 100
4 1 2 0 90
5 2 2 120 110
6 3 2 240 90
7 1 3 0 180
8 2 3 180 180
O(N)
O(ln(N))
O(1)
Find Mushrooms with Neo4j-Spatial and OSM Data

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Find Mushrooms with Neo4j-Spatial and OSM Data

Hinweis der Redaktion

  1. The purpose of this presentation is to introduce Neo4j Spatial, and two specific projects, the GSoC and OSM Mention Neo Technologies and AmanziTel, but no more We have a product in the market that uses uDig and Neo4j, but felt that our integration was too specific to our needs, and so decided to collaborate with Neo Technologies to produce a more generalized library available as an extension to the database
  2. KV: Dynomite, Voldemort, Tokyo* BigTable: HBase, Hypertable, Cassandra Document: CouchDB, MongoDB Graph: AllegroGraph, Sones, Neo4j
  3. The current success and popularity of NoSQL data models has been driven by the internet, and the associated explosion in the volume and interconnectedness of data.
  4. This example does highlight a few things about semi-structured data, schema-less databases and even opens the conversation for some discussions on performance (implicit indexes through local search, etc.)
  5. Storage: plugable – dataset, layer, encoder Search: Indexing is currently an R-Tree, but it is possible to plug in any custom mechanism conforming to the interface. Multi-dimensional index Spatial indices (quad-tree, R-tree, kn-tree, SFCs) Composite indices and dynamic indices Lucene