48 skills found · Page 2 of 2
tidwall / Prtreehybrid spatial data structure
wenyun / Spaa tool for analysis of spatial structure in genetics data
iLearn-Lab / NeurIPS25 SpaceEra[NeurIPS 2025 Spotlight] Official Implementation for Spatial Understanding from Videos: Structured Prompts Meet Simulation Data
phiweger / FaltwerkA library for spatial exploratory data analysis of protein structures
StandardCyborg / ScsdkOpen-source cross-platform data structures, IO, and algorithms for expressing, storing, and processing spatial data.
Dewb / DynamoSpacePartitioningDynamo package for spatial queries using tree data structures
gdrouart / MrMooseMrMoose is a Spectral Energy Distribution fitting procedure using a Bayesian framework. In a nutshell, this code allows to fit user-defined models onto a set of multi-wavelength data, making use of spatial information and upper-limits with a consistent treatment. The code is highly flexible to allow its use for sources with complex structures.
XuJin1992 / The Research And Implementation Of Data Mining For Geological DataData mining and knowledge discovery, refers to discover knowledge from huge amounts of data, has a broad application prospect.When faced with geological data, however, even the relatively mature existing models, there are defects performance and effect.Investigate its reason, mainly because of the inherent characteristics of geological data, high dimension, unstructured, more relevance, etc., in the data model, indexing structure knowledge representation, storage, mining, etc., is far more complicated than the traditional data. The geological data of the usual have raster, vector and so on, this paper pays attention to raster data processing.Tobler theorem tells us: geography everything associated with other things, but closer than far stronger correlation.Spatial correlation characteristics of geological data, the author of this paper, by establishing a spatial index R tree with spatial pattern mining algorithms as the guiding ideology, through the raster scanning method materialized space object space between adjacent relationship, transaction concept, thus the space with a pattern mining into the traditional association rules mining, and then take advantage of commonly used association rules to deal with some kind of geological data, to find association rules of interest. Using the simulation program to generate the geological data of the experiment, in the process of experiment, found a way to use R tree indexing can significantly speed up the generating spatial transaction set, at the same time, choose the more classic Apriori algorithm and FP - growth algorithm contrast performance, results show that the FP - growth algorithm is much faster than the Apriori algorithm, analyses the main reasons why the Apriori algorithm to generate a large number of candidate itemsets.In this paper, the main work is as follows: (1) In order to speed up the neighborhood search, choose to establish R tree spatial index, on the basis of summarizing the common scenarios to apply spatial indexing technology and the advantages and disadvantages. (2) Based on the analysis of traditional association rule mining algorithm and spatial association rule mining algorithm on the basis of the model based on event center space with pattern mining algorithm was described, and puts forward with a rule mining algorithm based on raster scanning, the algorithm by scanning for the center with a grid of R - neighborhood affairs set grid, will study data mining into the traditional data mining algorithm. (3) In the process of spatial index R tree insert, in order to prevent insertion to split after the leaf node, leading to a recursive has been split up destroy the one-way traverse, is put forward in the process of looking for insert position that records if full node number is M (M number) for each node up to insert nodes, first to divide to avoid after layers of recursive splitting up, speed up the R tree insertion efficiency. (4) On the basis of spatial transaction set preprocessing, realize the Apriori algorithm and FP-growth algorithm two kinds of classic association rule mining algorithm, performance contrast analysis.
kr-colab / SpacenessSpace is the Place: Effects of Continuous Spatial Structure on Analysis of Population Genetic Data
DharshanV / Octree QuadTreeA spatial data structure to accelerate data look up.
battlehorse / Rhizospherejavascript library for spatial navigation and interaction on structured data.
j-pulliam / Car Classification With Transfer Learning And BCNNsIn this project we explore fine-grained car make and model classification on the Stanford Cars Data Set. We first experiment with fine-tuning some of the more famous CNN architectures such as VGG, Resnet, and Densenet. After doing this analysis we build various structured ensembles of these fine-tuned models and analyze how they are able to support each other during classification. Finally we explore the concept of bilinear convolutional neural networks (BCNNs) which take into consideration not only spatial locality within images but also feature location.
knapply / NetworksfData structures and routines facilitating spatial network analysis.
ShinjiMC / Octree Voxel VTKOctree with VTK is a C++ project that efficiently manages, stores, and visualizes three-dimensional spatial data. It utilizes an Octree data structure and Visualization Toolkit (VTK) to load spatial points from CSV files into a 3D space. It features robust Google Test (GTEST) unit tests to ensure reliability.
TobiBu / YggdraxJAX-native tree toolkit for fast hierarchical tree structures: radix and k-d trees today, extensible to octrees and other trees in the near future.
rugbyprof / 4553 Spatial DSAn overview of spatial data structures.
FugroRoames / SpatialGrids.jlSpatial grid data structures for Julia
jonmmease / Hilbert FrameExperimental spatially-partitioned data structure for use with the Datashader
MathOnco / Strobl2021 Space Modulates Competition ATThis repository contains the code and data for our publication Strobl et al (2022). Spatial structure impacts adaptive therapy by shaping intra-tumoral competition. Commun Med 2, 46, available at: https://rdcu.be/cL5bi.
QingZhaoQE / The BOOKCode and simulated covariate data for the book "Bayesian Analysis of Spatially Structured Population Dynamics"
