Using transactional and spatial data to determine drivers of industrial land value by Callahan, Mark F.(Mark Francis)

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Representing and manipulating spatial data in interoperable systems and its industrial applications by Zborovskiy, Marat

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A distributed system architecture for spatial data management to support engineering modeling by Ismail, Ayman (Ayman Adel), 1973-

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DoppelLab : spatialized data sonification in a 3D virtual environment by Joliat, Nicholas D. (Nicholas David)

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Status report on estimation and signal processing for spatial data : efficient algorithms, inverse problems, and computational vision and geometry

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Interface design for spatial data visualization : a web-based integrated multimedia approach for the Tren Urbano project by Jankovics, Adrienn, 1974-

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RES.STR-001 Geographic Information System (GIS) Tutorial, January IAP 2016 by MIT GIS Services Group

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How Good Are Modern Spatial Libraries? by Pandey, Varun, van Renen, Alexander, Kipf, Andreas, Kemper, Alfons

“…Abstract Many applications today like Uber, Yelp, Tinder, etc. rely on spatial data or locations from its users. These applications and services either build their own spatial data management systems or rely on existing solutions. …”
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How Good Are Modern Spatial Libraries? by Pandey, Varun, van Renen, Alexander, Kipf, Andreas, Kemper, Alfons

“…Abstract Many applications today like Uber, Yelp, Tinder, etc. rely on spatial data or locations from its users. These applications and services either build their own spatial data management systems or rely on existing solutions. …”
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A Universal Tensor Abstraction and its Application to and Implementation within Block-Based Compression by Ray, Jessica Morgan

“…One such domain, block-based compression, has this type of heterogeneous, spatial data all throughout it, leading to overly complex implementations. …”
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Immediate-Mode Ray-Casting by Alex, John, Teller, Seth

“…We propose a simple modification to the classical polygon rasterization pipeline that enables exact, efficient raycasting of bounded implicit surfaces without the use of a global spatial data structure bounding hierarchy. Our algorithm requires two descr…”
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DIALOGUE maps multicellular programs in tissue from single-cell or spatial transcriptomics data by Jerby-Arnon, Livnat, Regev, Aviv

“…Here we describe DIALOGUE, a method to systematically uncover multicellular programs (MCPs)-combinations of coordinated cellular programs in different cell types that form higher-order functional units at the tissue level-from either spatial data or single-cell data obtained without spatial information. …”
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PyLEnM: A Machine Learning Framework for Long-Term Groundwater Contamination Monitoring Strategies by Meray, Aurelien O, Sturla, Savannah, Siddiquee, Masudur R, Serata, Rebecca, Uhlemann, Sebastian, Gonzalez-Raymat, Hansell, Denham, Miles, Upadhyay, Himanshu, Lagos, Leonel E, Eddy-Dilek, Carol, Wainwright, Haruko M

“…PyLEnM aims to establish the seamless data-to-ML pipeline with various utility functions, such as quality assurance and quality control (QA/QC), coincident/colocated data identification, the automated ingestion and processing of publicly available spatial data layers, and novel data summarization/visualization. …”
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Partitioning Strategies for Concurrent Programming by Devadas, Srinivas, Agarwal, Anant, Hoffmann, Henry

“…Thus, this work describes four decomposition strategies: spatial data partitioning (SDP), temporal data partitioning (TDP), spatial instruction partitioning (SIP), and temporal instruction partitioning (TIP), while cataloging the benefits and drawbacks of each. …”
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Platform for spatial molecular data by Dasari, Vivek

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Representativity and Networked Interference in Data-Rich Field Experiments: A Large-Scale RCT in Rural Mexico by Noriega, Alejandro, Pentland, Alex

“…Relevant for the practitioner, the methodology is computationally tractable and can be implemented leveraging open sourced geo-spatial data and software tools.…”
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Using heterogeneous Graph Neural Networks(hGNN) to predict cell-cell communication by Yan, Binwei

“…Our approach emphasizes the use of spatial data as a crucial indicator, facilitated by the advanced capabilities of heterogeneous GNNs to model physical proximity. …”
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Partitioning Strategies for Concurrent Programming by Hoffmann, Henry Christian, Agarwal, Anant, Devadas, Srinivas

“…Thus, this work describes four decomposition strategies: spatial data partitioning (SDP), temporal data partitioning (TDP), spatial instruction partitioning (SIP), and temporal instruction partitioning (TIP), while cataloging the benefits and drawbacks of each. …”
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A fine-grained geospatial representation and framework for large-scale indoor environments by Battat, Jonathan

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Integration of Spatial Transcriptomics with Chromatin Images Using Graph-Based Autoencoder Identifies Joint Biomarkers for Alzheimer’s Disease by Zhang, Xinyi

“…Spatial transcriptomic technologies, such as STARmap and 10x Visium, allow the joint measurement of these different modalities in whole tissue sections.1,2 However, methods for jointly analyzing the different spatial data modalities in 3D are still lacking. We present a computational framework to integrate Spatial Transcriptomic data using over-parameterized graph-based Autoencoders with Chromatin Imaging data (STACI) to identify molecular and functional alterations in tissues. …”
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