WISK, a workload-aware learned index that combines spatial and keyword queries to efficiently retrieve objects. It integrates spatial and textual indexes and considers query workload information.

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Learn about managing gridded data in HEC-DSSVue, including how grids represent spatial data, storing data in DSS, naming conventions, tools for manipulation, and more. Explore the importance of grids in hydrologic modeling and the application of spatial data in HEC-HMS and HEC-RAS.

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fMRI data analysis involves coregistration and spatial normalization to align functional and structural images, reduce variability, and prepare data for statistical analysis. Coregistration aligns images from different modalities within subjects, while spatial normalization achieves precise anatomic

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Coregistration and Spatial Normalization are essential steps in fMRI data preprocessing to ensure accurate alignment of functional and structural images for further analysis. Coregistration involves aligning images from different modalities within the same individual, while spatial normalization aim

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This paper introduces the Localised Adaptive Spatial-Temporal Graph Neural Network model, focusing on the importance of spatial-temporal data modeling in graph structures. The challenges of balancing spatial and temporal dependencies for accurate inference are addressed, along with the use of distri

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Spatial data mining involves uncovering valuable patterns from extensive spatial datasets, offering insights into historical events, environmental phenomena, and predictive analytics. Examples range from analyzing disease outbreaks to predicting habitat suitability for endangered species. The applic

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Cutting-edge research in 3D scene analysis focuses on sequenced predictions over points and regions for comprehensive spatial understanding. The approach involves contextual classification, overcoming limitations of classical graphical models through innovative inference machines that prioritize tra

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This presentation by Xiaozhi Yu introduces the fundamentals of spatial database systems, covering topics such as spatial data types, relationships, system architecture, modeling, and organizing underlying spaces. It delves into the importance of integrating geometry into DBMS data models, spatial in

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Spatial distortion artifacts in EPI sequences (BOLD or DWI) due to slow sampling rates in the phase encoding direction can be corrected using B0/spatial field mapping techniques. This correction requires obtaining field maps under the same B0 shimming conditions and with identical FoV and adjustment

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ArcGIS Network Analyst offers tools for complex routing problems using a unique network model. Learn about networks, elements, attributes, evaluators, and more to enhance spatial analysis capabilities with ArcGIS.

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Spatial analysis in GIS involves modeling geographic problems, processing data, and exploring results to understand spatial relationships, patterns, and suitability for various purposes. GIS tools offer unique capabilities for handling geographically referenced data, data entry, storage, manipulatio

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Spatial reference systems play a crucial role in defining geographic parameters and coordinate systems for mapping. They consist of components like orientation, latitude, longitude, and elevation, which help in representing spatial properties on maps. Reference surfaces such as the Geoid and ellipso

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Cadastral mapping involves geodetic control networks, parcel identification, and various overlays like zoning and floodplains. City maps are categorized into base, derived, and thematic maps. Data sources include spatial and non-spatial data for property assessment. Layers in cadastral maps cover to

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This document presents the Coordinated Spatial Reuse (CSR) procedure in IEEE 802.11-20/0410r4, focusing on the transmission schemes and necessary information for effective spatial reuse. It outlines the topology of CSR environments, acquisition of information for CSR, CSR capability announcement by

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Explore spatial analysis techniques for efficient route planning, site selection, pattern identification, and value prediction in the context of spatial planning. Learn about surface modeling, relationships among features, and the importance of spatial modeling in addressing geographical problems.

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A geographic information system (GIS) is a powerful tool for capturing, storing, analyzing, and presenting spatial data. This training program explores the fundamentals of GIS, including software and hardware components, data considerations, and the importance of people and policies in utilizing GIS

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Explore the concepts of GIS data models including vector vs. raster, spatial relationships, spatial operations, and representation of real-world entities in a spatial database. Understand how spatial data models are used to manipulate spatially-referenced information and define the spatial location

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Explore the concept of spatial autocorrelation, its implications in geostatistical analysis, and the importance of detecting and interpreting it correctly. Learn about auto-correlation, signal components, correlation significance, and measuring autocorrelation using tools like Moran's I. Gain insigh

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Enhancing GIS practices in Samoa involves establishing a Samoa GIS User Group, improving spatial data management, developing a national spatial data infrastructure framework, and implementing GIS applications in various sectors like emergency response, public access, and natural resource management.

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The document discusses various spatial relation switching requirements for uplink scenarios in the 3GPP NR RAN Plenary Meeting. It covers agreement points related to UL SRS, PUCCH, P-SRS, and DL-RS, defining delay requirements and known conditions for spatial relation switching. The agreements provi

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The document discusses spatial stream allocation in IEEE 802.11-20 trigger frames, specifically focusing on the SS Allocation subfield. It explains how trigger frames allocate resources for TB PPDU transmissions and solicit User Info fields, detailing the RU Allocation and SS Allocation subfields. T

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Analysis of overhead components impacting the performance of Coordinated Spatial Reuse (Co-SR) in IEEE 802.11-23 standard for wireless communication. Evaluation of MAC overhead, negotiation and measurement phases, and frames in the negotiation phase. Discussion on the impact of overhead on Co-SR per

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This content delves into the intricacies of temporal and spatial information models, covering concepts such as existence, presence, and spatiotemporal relationships. It explores how entities are identified, events are witnessed, and durations are defined within these models. The interplay between ti

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Delve into the utilization of precipitation data by state transportation agencies for road and bridge design, safety operations, and traveler information. Explore model components and the nature of precipitation events, along with challenges associated with spatial scale sampling. Discover the impor

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The Arctic SDI is a collaborative initiative between the Arctic Council and national mapping authorities of Arctic member states to develop data, policies, technologies, and standards. It aims to provide integrated maps and applications for various stakeholders to access geographically related thema

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The analysis examines the spatial experiences in pleasant and unpleasant places based on individuals' preferences for factors like openness, size, complexity, orderliness, attractiveness, brightness, and interesting views. Discussion includes favorite spots in the kitchen, feelings of protection, an

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This study explores the use of complex time methods and chameleon scalar fields in understanding and modeling spatial extremes in hydrological and atmospheric systems. By transforming Lagrangian processes and introducing chameleon scalar fields, the research unveils new insights into the mechanism g

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Professor Peter J. Hammer's testimony before the Michigan Civil Rights Commission sheds light on the historical lineage of spatial racism in Flint and Genesee County. The interaction between beliefs and institutions over time has shaped racial oppression, from slavery to current issues such as the F

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MAPSIT, led by Trent Hare of USGS, advocates for creating a Lunar PSDI to enhance spatial data infrastructure in planetary science. The committee highlights the importance of foundational lunar data products and ongoing efforts for Europa and the Moon. Collaboration with various entities is emphasiz

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Explore the integration of relational databases with QGIS to facilitate efficient spatial data analysis. Discover the importance of recognizing spatial relationships within data sets and the solutions to enhance QGIS for relational datasets. Overcome challenges and delve into the intersection and su

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This project aims to analyze the risk factors associated with electrical transmission in the Caribbean region, focusing on Puerto Rico and the US Virgin Islands. By integrating data on the electrical grid, natural disasters, and asset information, the project seeks to provide insights for disaster p

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Explore how to display UK geospatial data in SQL Server 2008 R2 Reporting Services by finding and importing Ordnance Survey Open Data. Learn how to represent the UK on a map, import data into SQL, and create example reports. Discover limitations and resources to kickstart your spatial data journey i

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Mapping spatial experiences in a small flat, this content describes pleasant and unpleasant places within the living space. It highlights favorite spots like a kitchen chair with a view, a cozy desk for work, and a room with enough space for activities. In contrast, it mentions bothersome areas like

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The report provides insights into the activities and discussions at the EAHC-MSDIWG1 meeting held in Busan, ROK. It outlines the key agenda items, country reports on national MSDI, membership details, importance of MSDI, and trends in marine spatial data. The report emphasizes the significance of ma

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Explore the spatial epidemiology of tick-borne diseases in Kansas through data analysis and design of informative materials. Help the Kansas Department of Health and Environment by analyzing tick-borne disease data, calculating cases over the years, and creating graphs to visualize important trends.

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Marine Cadastre is discussed as an application of Marine Spatial Data Infrastructure (MSDI) in this content. It explores what an MSDI could and should be, emphasizing spatial data management systems' crucial role in providing access to information and analysis products. The discussion covers the pil

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Proposal discusses the suitability of MIMO for IMMW transmission under different scenarios. The analysis focuses on the number of spatial streams based on channel rank and quality, recommending dual-polarization for LOS paths supporting 2 spatial streams and spatial separation for larger devices sup

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Detailed procedures for spatial CTI correction using Cu K? and Mn K? in XMM EPIC-pn detectors, including applying long-term CTI corrections, stacking event lists, extracting spectra, fitting Cu K line, and deriving spatial offsets. Examples show improvements in velocity space after corrections. Vali

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In this study by Mikko Harju, Juuso Liesi, and Kai Virtanen from Aalto University, the focus is on spatial decision analysis for scenarios where decision alternatives have varying consequences across a geographical region. The research delves into the significance of spatial value functions in repre

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This study by Sean Patrick Yusko delves into the analysis and predictive modeling of ancient Greek temples in the Mediterranean region. It focuses on spatial relationships, patterns, and potential predictive modeling based on data collected from 236 temples spanning from 800 BC to 150 AD. The resear

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