Peng Luo
Orcid: 0000-0002-3680-8509Affiliations:
- Massachusetts Institute of Technology (MIT), Department of Urban Studies and Planning, Senseable City Lab, Cambridge, USA
- Technical University of Munich, Chair of Cartography, Germany
According to our database1,
Peng Luo
authored at least 31 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Understanding of the predictability and uncertainty in population distributions empowered by visual analytics.
Int. J. Geogr. Inf. Sci., March, 2025
Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network.
Comput. Environ. Urban Syst., 2025
Geographical Scenario Knowledge-Informed Graph Structure Attention for Image Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2025
Explainable Mapping of the Irregular Land Use Parcel With a Data Fusion Deep-Learning Model.
IEEE Trans. Geosci. Remote. Sens., 2025
Evaluation and Spatial Optimization Model of Urban Medical Resource Distribution Considering Equity and Efficiency.
Trans. GIS, 2025
2024
EPJ Data Sci., December, 2024
Predicting the locations of missing persons in China by using NGO data and deep learning techniques.
Int. J. Digit. Earth, December, 2024
Automated external defibrillator location selection considering myocardial infarction risk and medical resources.
Trans. GIS, November, 2024
Int. J. Geogr. Inf. Sci., November, 2024
Identifying Determinants of Spatiotemporal Disparities in Ecological Quality of Mongolian Plateau.
Remote. Sens., September, 2024
Toward Ethical Spatial Analysis: Addressing Endogenous Bias Through Visual Analytics.
CoRR, 2024
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction.
CoRR, 2024
A spatio-temporal unmixing with heterogeneity model for the identification of remotely sensed MODIS aerosols: Exemplified by the case of Africa.
Int. J. Appl. Earth Obs. Geoinformation, 2024
A multimodal data fusion model for accurate and interpretable urban land use mapping with uncertainty analysis.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Int. J. Digit. Earth, December, 2023
Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism.
Comput. Environ. Urban Syst., September, 2023
A site selection framework for urban power substation at micro-scale using spatial optimization strategy and geospatial big data.
Trans. GIS, September, 2023
Int. J. Geogr. Inf. Sci., March, 2023
Elucidation of spatial disparities of factors that affect air pollutant concentrations in industrial regions at a continental level.
Int. J. Appl. Earth Obs. Geoinformation, March, 2023
Fast optimization for large scale logistics in complex urban systems using the hybrid sparrow search algorithm.
Int. J. Geogr. Inf. Sci., 2023
2022
An unsupervised approach for semantic place annotation of trajectories based on the prior probability.
Inf. Sci., 2022
Early Detection of Suspicious Behaviors for Safe Residence from Movement Trajectory Data.
ISPRS Int. J. Geo Inf., 2022
RunnerDNA: Interpretable indicators and model to characterize human activity pattern and individual difference.
CoRR, 2022
Classifying land-use patterns by integrating time-series electricity data and high-spatial resolution remote sensing imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Sensing overlapping geospatial communities from human movements using graph affiliation generation models.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2022
2021
Transferability of Convolutional Neural Network Models for Identifying Damaged Buildings Due to Earthquake.
Remote. Sens., 2021
UrbanVCA: a vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level.
CoRR, 2021
2019
Remote. Sens., 2019