lambdageo
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qgissparql
qgissparql PublicA QGIS plugin to import Linked Data from SPARQL endpoints and Data.world, transforming RDF triples into native geospatial layers.
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dbcells-ontology
dbcells-ontology Public🌍 RDF/RDFS vocabulary for publishing and integrating Land Use and Land Cover (LULC) change models as Linked Data. Based on W3C Data Cube.
Python
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Repositories
- geospatial-modeling-python Public
Two-volume book: Vol. I teaches geospatial Python from scratch (pandas, geopandas, rasterio, spatial statistics); Vol. II introduces DisSModel, our discrete spatial modeling framework. Work in progress, AI-assisted writing.
- lambdageo.github.io Public
Official website of LambdaGEO, the Research Group in Computing and Geotechnology at UFMA.
- book-introducao-a-programacao-funcional Public
Open-source Portuguese textbook on Introduction to Functional Programming. Covers Haskell, Clojure, and Elixir through a structured 60-hour curriculum. Part of the LambdaGeo MkDocs collection.
- book-estrutura-de-dados Public
Open-source Portuguese textbook on Data Structures and Algorithms, implemented in C. Covers stacks, queues, trees, and sorting. Part of the LambdaGeo MkDocs collection.
- qgissparql Public
A QGIS plugin to import Linked Data from SPARQL endpoints and Data.world, transforming RDF triples into native geospatial layers.
- terrahs Public
A rewrite of TerraHS, a Haskell-based GIS toolkit, without its original dependency on TerraLib.
- rdfmapper Public
A declarative Object-RDF Mapper for Python — map Python classes to RDF graphs using decorators, with SHACL validation and dynamic SPARQL queries.
- playreg Public
A regex engine using Brzozowski derivatives, following the "A Play on Regular Expressions" functional pearl, generalized via a Semiring abstraction to compute acceptance, match counts, or submatch positions.
- dbcells-ontology Public
🌍 RDF/RDFS vocabulary for publishing and integrating Land Use and Land Cover (LULC) change models as Linked Data. Based on W3C Data Cube.
- r-ml-base Public
Docker base image with R, Plumber and pre-installed heavy ML packages (caret, randomForest, kernlab...) to speed up builds of R model-serving services.
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