WISK: A Workload-aware Learned Index for Spatial Keyword Queries
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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Coordinated Spatial Reuse
Explore the concept of Coordinated Spatial Reuse (C-SR) in IEEE 802.11 networks, a scheme where multiple access points (APs) transmit data simultaneously to reduce interference and enhance resource utilization. Learn about the definition, benefits, and necessary components for successful C-SR operat
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Managing Water Resources Data with HEC-DSSVue
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 Coregistration and Spatial Normalization Methods
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 in fMRI Analysis
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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Localised Adaptive Spatial-Temporal Graph Neural Network
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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Introduction to Spatial Data Mining: Discovering Patterns in Large Datasets
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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Advanced Techniques in 3D Scene Analysis for Spatial Understanding
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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Understanding Spatial Database Systems: An Overview
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 Correction in EPI Sequences: Field Mapping Examples
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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Performance of Nearest Neighbor Queries in R-trees
Spatial data management research focuses on designing robust spatial data structures, inventing new models, constructing query languages, and optimizing query processing. This study explores the estimation of query performance and selectivity, specifically in R-trees, for efficient access planning.
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Understanding Spatial Analysis in GIS for Effective Decision-Making
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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Understanding Spatial Referencing Systems for Mapping
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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Understanding Cadastral Mapping Components and Data Sources
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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Understanding IEEE 802.11-20/0410r4 Coordinated Spatial Reuse Procedure
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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Spatial Analysis & Modeling for Spatial Planning Training in Maputo, Mozambique
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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Understanding the Components of GIS for Spatial Planning
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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GIS Data Models for Spatial Planning Training in Maputo, Mozambique
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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Coordinated Spatial Reuse in IEEE 802.11 Networks
The document discusses Coordinated Spatial Reuse (C-SR) in IEEE 802.11 networks, focusing on downlink transmission. C-SR is a multi-AP coordination scheme aimed at enhancing spectrum efficiency by reusing time/frequency resources among multiple Basic Service Sets (BSSs). The procedure is divided int
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Understanding Spatial Autocorrelation in Geostatistical Analysis
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 Coastal Spatial Systems and Database Management for R2R Investments
This presentation delves into the enhancement and training of national GIS/Data Practitioners on R2R coastal spatial systems, governance, and socioeconomic baseline assessments. It explores the use of EGS and DPSIR approaches, along with the integration of existing databases for future R2R investmen
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Future Directions for GIS in Samoa
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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Spatial Relation Switching Requirements in 3GPP NR RAN Plenary Meeting
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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Spatial Stream Allocation in IEEE 802.11-20 Trigger Frames
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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Geospatial Database Development for KRISHI Portal: Nodal Officers Workshop
Geospatial databases play a crucial role in providing location-specific agricultural services through the KRISHI Portal. This workshop focuses on the core objective of the portal, simple GeoPortal architecture, main services offered, the significance of geospatial data, and the utilization of spatia
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Understanding Temporal and Spatial Information Models
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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Insights into Precipitation Analysis for Transportation Applications
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 Spatial Data Infrastructure (Arctic SDI) Collaboration
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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Understanding Spatial Extremes: Complex Time Methods in Hydro-Atmospheric Dynamics
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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Detailed Overview of Emissions Development in Louisiana
Emissions Processing System (EPS3) generates chemically speciated, gridded formats required by CAMx, with a focus on raw annual/ozone season county/parish-level emission inventory files and support data. Spatial and temporal profiles, along with cross-reference files, are essential for this work, co
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Understanding Spatial Racism and Its Role in the Flint Water Crisis
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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Enhancing Data Management in INDEPTH Network with iSHARE2 & CiB
INDEPTH Network emphasizes the importance of iSHARE2 & CiB to enhance data sharing and management among member centers. iSHARE2 aims to streamline data provision in a standardized manner, while CiB provides a comprehensive data management solution. The objectives of iSHARE2 include facilitating data
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Initiating a Lunar Planetary Spatial Data Infrastructure (PSDI) by MAPSIT Steering Committee
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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Enhancing Spatial Data Analysis in QGIS
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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Caribbean Electrical Transmission Risk Analysis Web-Map Project
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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Utilizing UK Spatial Data in SQL Server 2008 R2 Reporting Services
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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Spatial Experiences in a Small Flat
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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Marine Spatial Data Infrastructures Report Overview
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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Spatial Epidemiology of Tick-Borne Diseases in Kansas
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 as an Application of MSDI
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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