Everything about Spatial join
GIS tool for merging attribute tables
A spatial join is an operation in a geographic information system (GIS) or spatial database that combines the attribute tables of two spatial layers based on a desired spatial relation between their geometries. It is similar to the table join operation in relational databases in merging two tables, but each pair of rows is correlated based on some form of matching location rather than a common key value. It is also similar to vector overlay operations common in GIS software such as Intersect and Union in merging two spatial datasets, but the output does not contain a composite geometry, only merged attributes. Wikipedia →
đź§ Start here: a 6-step reading path
- Read the overview: Spatial joinA 5-minute orientation
- Skim a recent paper: SpatialSSJP: QoS-Aware Adaptive Approximate Stream-Static Spatial Join ProcessorInfluential work since 2022
- Pick up a classic book: Cartesian meditationsThe most-reprinted book on the subject
- Read the landmark paper: Spatial join techniquesCited 198 times
- Go sideways: Geospatial topologyA closely related topic
- Go sideways: Vector overlayA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Spatial join techniques
Partition based spatial-merge join
Trajectory similarity join in spatial networks
Spatial Negative Co-Location Pattern Directional Mining Algorithm with Join-Based Prevalence
Data Partitioning for Parallel Spatial Join Processing
Incremental distance join algorithms for spatial databases
Slot index spatial join
Distributed Spatial and Spatio-Temporal Join on Apache Spark
🆕 Influential since 2022
SpatialSSJP: QoS-Aware Adaptive Approximate Stream-Static Spatial Join Processor
A learning-based framework for spatial join processing: estimation, optimization and tuning
Efficient distributed algorithms for distance join queries in spark-based spatial analytics systems
Enabling Efficient Distributed Spatial Join on Large Scale Vector-Raster Data Lakes
Scheduling distributed multiway spatial join queries: optimization models and algorithms
📚 Books worth reading
Cartesian meditationsEdmund Husserl, Dorion Cairns · 1960
Database system conceptsAbraham Silberschatz · 1997
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling ChallengesOscar Camara · 2012
Devolution, regionalism, and regional developmentJonathan Bradbury · 2007
QGIS for Hydrological AppllicationsJohannes van der Kwast, Kurt Menke · 2019
Virginia WoolfConference on Virginia Woolf (5th 1995 Otterbein College), Eileen Barrett · 1996
NanosystemsK. Eric Drexler · 1992
Apache Solr Beginner's GuideAlfredo Serafini · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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