21 skills found
huang-xx / STGATSTGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction
pysal / SpintSPatial INTeraction Models (spint)
STOmics / StereoMMv1StereoMM is a graph fusion model that can integrate gene expression, histological images, and spatial location. And the information interaction within modalities is strengthened by introducing an attention mechanism.
Caoyichao / UniHOICode for the paper "Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models"
HPSCIL / Open Space Cellular AutomataA spatio-temporal approach based on Cellular Automata (CA) for simulating the spatial dynamics of open spaces (include urban green spaces, parks, squares, trails, courtyards, and other natural spaces), by considering a set of spatial data that represents the infrastructural and socio-economic factors, namely the OS-CA (Open Space Cellular Automaton) model. The dynamic sub-model for OS is used to generate scenarios with different parameters (e.g. mean construction delays and mean area) for exploring the effects of planning policies on the future distribution of open space. The OS-CA considers the interactions and inter-attraction between open space and urban land in the simulation process. The proposed model can accurately predict the emergence of some open spaces.
FelixOpolka / Mobility Flows Neural Networks🌇 Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks
yjy-97 / MssNetMssNet: Early Identification Model of Alzheimer’s Eisease Based on Automatic Region of Interest Extraction and Spatial Information Interaction
LukeCe / SpflowSpatial Econometric Interaction Models in R.
CBIIT / NCI DOE Collab Pilot2 MuMMIMultiscale Machine-learned Modeling Infrastructure (MuMMI) is a methodology that the Pilot 2 team has developed to study the interaction of active KRAS with the plasma membrane (and related phenomena) on very large temporal and spatial scales.
FabriFalasca / Delta MAPSδ-MAPS is a method that identifies the semi-autonomous components of a spatio-temporal system and studies their weighted and potentially lagged interactions. The semi-autonomous components of the system are modeled as spatially contiguous, possibly overlapping, functionally homogeneous domains. To the best of our knowledge, δ-MAPS is the first method that can identify spatially contiguous and possibly overlapping clusters (i.e., domains). At a second step, δ-MAPS infers a directed and weighted network between the identified domains. Edge direction captures the temporal ordering of events while the weight associated to each edge captures the magnitude of interaction between domains.
maoxiaowei97 / WDR LCEstimated Time of Arrival Prediction via Modeling the Spatial-Temporal Interactions between Links and Crosses (GIS Cup)
zarashabrina / Gravity Model Network AnalysisAccessibility and network analysis using gravity-spatial interaction model in Python
MrWan001 / SFDiffSFDiff: Diffusion Model with Sufficient Spatial-Fourier Frequency Information Interaction for Low-Light Image Enhancement
nismod / SimimSpatial Interaction Models of Internal Migration
adamdennett / SIModellingCode for Spatial Interaction Modelling in R
YannisZa / GeNSITGenerating Neural Spatial Interaction Tables
MesserLab / ResourceExplicitModelsModels and data for "Resource-Explicit Interaction Models for Spatial Populations"
javsan77 / EduNode AIEduNodo AI is a intelligence platform that converts Peru’s Educational Service Padron in .dbf format into a scalable, actionable decision environment, combining cloud-based RAG on Cloudflare Workers with spatial analytics, statistical modeling, and natural-language interaction to help educational managers plan.
paezha / Correlates Of Cycling Flows Route TypesDesjardins E, Higgins CD, Scott DM, Apatu E, Paez A (2020) Correlates of bicycling trip flows in Hamilton, Ontario: fastest, quietest, or balanced routes? Transportation
wlxiong / SprobitSpatial probit model of intra-household interactions (implemented in Stata)
