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Spatial Data Quality by Wenzhong Shi
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1Data Warehousing And Data Quality For A Spatial Decision Support System.
By Dill, Robert W.
This research investigates the problems inherent in Decision Support Systems (DSS) that depend on the quality and accuracy of legacy information as the basis for decision making. A Spatial Decision Support System (SDSS) was developed at Naval Postgraduate School to analyze the comparative desirability of Army Reserve Unit locations. The Army Reserve Installation Evaluation System (ARIES) integrates a GIS mapping engine and a decision model solver in a flexible environment that leverages operational legacy database information for decision-making. Data quality problems from legacy sources motivated the development of a data migration plan to transform the source data into an architecture optimized for the ARIES SDSS application. This research developed a prototype Data Migration Tool (DMT) to extract the relevant source data into a centralized repository for the SDSS with an acceptable degree of data quality to support SDSS outcomes. Six data quality attributes were identified: accuracy, completeness, consistency, timeliness, uniqueness, and validity. The ARIES DMT focused on data validity and developed techniques for measuring and enforcing data validity. The DMT also specified individual responsibilities for data administration, development of data retrieval routines, and data quality assessment. Significant system performance enhancements resulted from implementation of the DMT by leveraging the spatial aspects of the underlying repository through geographic queries that efficiently localized subsets of the data files. Additional performance enhancements were obtained through the use of data warehousing techniques
“Data Warehousing And Data Quality For A Spatial Decision Support System.” Metadata:
- Title: ➤ Data Warehousing And Data Quality For A Spatial Decision Support System.
- Author: Dill, Robert W.
- Language: English
Edition Identifiers:
- Internet Archive ID: datwarehousingnd109458187
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The book is available for download in "texts" format, the size of the file-s is: 2674.49 Mbs, the file-s for this book were downloaded 126 times, the file-s went public at Thu Nov 19 2020.
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2Elements Of Spatial Data Quality
This research investigates the problems inherent in Decision Support Systems (DSS) that depend on the quality and accuracy of legacy information as the basis for decision making. A Spatial Decision Support System (SDSS) was developed at Naval Postgraduate School to analyze the comparative desirability of Army Reserve Unit locations. The Army Reserve Installation Evaluation System (ARIES) integrates a GIS mapping engine and a decision model solver in a flexible environment that leverages operational legacy database information for decision-making. Data quality problems from legacy sources motivated the development of a data migration plan to transform the source data into an architecture optimized for the ARIES SDSS application. This research developed a prototype Data Migration Tool (DMT) to extract the relevant source data into a centralized repository for the SDSS with an acceptable degree of data quality to support SDSS outcomes. Six data quality attributes were identified: accuracy, completeness, consistency, timeliness, uniqueness, and validity. The ARIES DMT focused on data validity and developed techniques for measuring and enforcing data validity. The DMT also specified individual responsibilities for data administration, development of data retrieval routines, and data quality assessment. Significant system performance enhancements resulted from implementation of the DMT by leveraging the spatial aspects of the underlying repository through geographic queries that efficiently localized subsets of the data files. Additional performance enhancements were obtained through the use of data warehousing techniques
“Elements Of Spatial Data Quality” Metadata:
- Title: ➤ Elements Of Spatial Data Quality
- Language: English
Edition Identifiers:
- Internet Archive ID: elementsofspatia0000unse_w9g9
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The book is available for download in "texts" format, the size of the file-s is: 588.38 Mbs, the file-s for this book were downloaded 11 times, the file-s went public at Wed May 17 2023.
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3Data Warehousing And Data Quality For A Spatial Decision Support System.
By Dill, Robert W.
Thesis advisors, Daniel R. Dolk, George W. Thomas, and Kathryn Kocher
“Data Warehousing And Data Quality For A Spatial Decision Support System.” Metadata:
- Title: ➤ Data Warehousing And Data Quality For A Spatial Decision Support System.
- Author: Dill, Robert W.
- Language: en_US,eng
Edition Identifiers:
- Internet Archive ID: datawarehousingd00dillpdf
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The book is available for download in "texts" format, the size of the file-s is: 138.74 Mbs, the file-s for this book were downloaded 172 times, the file-s went public at Fri Oct 09 2015.
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4Data Warehousing And Data Quality For A Spatial Decision Support System.
By Dill, Robert W.
Thesis advisors, Daniel R. Dolk, George W. Thomas, and Kathryn Kocher
“Data Warehousing And Data Quality For A Spatial Decision Support System.” Metadata:
- Title: ➤ Data Warehousing And Data Quality For A Spatial Decision Support System.
- Author: Dill, Robert W.
- Language: en_US
Edition Identifiers:
- Internet Archive ID: datawarehousingd00dill
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The book is available for download in "texts" format, the size of the file-s is: 227.23 Mbs, the file-s for this book were downloaded 824 times, the file-s went public at Wed Apr 25 2012.
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5DTIC ADA264125: Data Quality Statements For Spatial Databases
By Defense Technical Information Center
This paper overviews contemporary issues in incorporating data quality statements into spatial databases. The paper includes discussion of two approaches; one emanating from the Digital Chart of the World Project and one through a working party within the International Cartographic Association.... Spatial data, Quality, Geographic information systems, Digital image processing.
“DTIC ADA264125: Data Quality Statements For Spatial Databases” Metadata:
- Title: ➤ DTIC ADA264125: Data Quality Statements For Spatial Databases
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA264125: Data Quality Statements For Spatial Databases” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Williams, R J - ELECTRONICS RESEARCH LAB ADELAIDE (AUSTRALIA) - *DATA BASES - *DATA PROCESSING - *DIGITAL MAPS - IMAGE PROCESSING - ORGANIZATIONS - INFORMATION SYSTEMS - QUALITY - IMAGES - INTERNATIONAL - CHARTS - AUSTRALIA
Edition Identifiers:
- Internet Archive ID: DTIC_ADA264125
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The book is available for download in "texts" format, the size of the file-s is: 16.71 Mbs, the file-s for this book were downloaded 44 times, the file-s went public at Sat Mar 10 2018.
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6Spatial Data Quality
This paper overviews contemporary issues in incorporating data quality statements into spatial databases. The paper includes discussion of two approaches; one emanating from the Digital Chart of the World Project and one through a working party within the International Cartographic Association.... Spatial data, Quality, Geographic information systems, Digital image processing.
“Spatial Data Quality” Metadata:
- Title: Spatial Data Quality
- Language: English
Edition Identifiers:
- Internet Archive ID: spatialdataquali0000unse
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 958.15 Mbs, the file-s for this book were downloaded 22 times, the file-s went public at Thu Apr 28 2022.
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ACS Encrypted PDF - AVIF Thumbnails ZIP - Cloth Cover Detection Log - DjVuTXT - Djvu XML - Dublin Core - Item Tile - JPEG Thumb - JSON - LCP Encrypted EPUB - LCP Encrypted PDF - Log - MARC - MARC Binary - Metadata - OCR Page Index - OCR Search Text - PNG - Page Numbers JSON - RePublisher Final Processing Log - RePublisher Initial Processing Log - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - Title Page Detection Log - chOCR - hOCR -
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7DTIC ADA336886: Data Warehousing And Data Quality For A Spatial Decision Support System
By Defense Technical Information Center
This research investigates the problems inherent in Decision Support Systems (DSS) that depend on the quality and accuracy of legacy information as the basis for decision making. A Spatial Decision Support System (SDSS) was developed at Naval Postgraduate School to analyze the comparative desirability of Army Reserve Unit locations. The Army Reserve Installation Evaluation System (ARIES) integrates a GIS mapping engine and a decision model solver in a flexible environment that leverages operational legacy database information for decision-making. Data quality problems from legacy sources motivated the development of a data migration plan to transform the source data into an architecture optimized for the ARIES SDSS application. This research developed a prototype Data Migration Tool (DMT) to extract the relevant source data into a centralized repository for the SDSS with an acceptable degree of data quality to support SDSS outcomes. Six data quality attributes were identified: accuracy, completeness, consistency, timeliness, uniqueness, and validity. The ARIES DMT focused on data validity and developed techniques for measuring and enforcing data validity. The DMT also specified individual responsibilities for data administration, development of data retrieval routines, and data quality assessment. Significant system performance enhancements resulted from implementation of the DMT by leveraging the spatial aspects of the underlying repository through geographic queries that efficiently localized subsets of the data files. Additional performance enhancements were obtained through the use of data warehousing techniques.
“DTIC ADA336886: Data Warehousing And Data Quality For A Spatial Decision Support System” Metadata:
- Title: ➤ DTIC ADA336886: Data Warehousing And Data Quality For A Spatial Decision Support System
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA336886: Data Warehousing And Data Quality For A Spatial Decision Support System” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Dill, Robert W. - NAVAL POSTGRADUATE SCHOOL MONTEREY CA - *SPATIAL DISTRIBUTION - *PROBLEM SOLVING - *QUALITY ASSURANCE - *DECISION SUPPORT SYSTEMS - TEST AND EVALUATION - DATA BASES - FILES(RECORDS) - DATA PROCESSING - MILITARY RESERVES - SOURCES - METHODOLOGY - POSITION(LOCATION) - ENVIRONMENTS - DECISION MAKING - DATA MANAGEMENT - VALIDATION - MODELS - TOOLS - ACCURACY - PROTOTYPES - QUALITY - INFORMATION RETRIEVAL - MIGRATION - MAPPING - ARMY - TIMELINESS - INTERROGATION - GEOGRAPHY - WAREHOUSES.
Edition Identifiers:
- Internet Archive ID: DTIC_ADA336886
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 179.29 Mbs, the file-s for this book were downloaded 55 times, the file-s went public at Tue Apr 10 2018.
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8DTIC ADA522284: Actionable Cultural Understanding For Support To Tactical Operations (ACUSTO): The Effect Of Data Quality On Spatial Analysis Results
By Defense Technical Information Center
Developing cultural information into cultural knowledge for military operations is predominantly an intelligence activity that takes place within the Military Decision Making Process. The products of such efforts are routinely classified and unusable by the tactical war fighter. The Actionable Cultural Understanding for Support to Tactical Operations (ACUSTO) research effort was undertaken to provide a product for enhanced cultural understanding that will be accessible to the tactical war fighter. This is done by combining spatial and explicit content analysis of open source news media to provide cultural understanding in the operational environment that can be disseminated down to the lowest tactical level. The development of actionable intelligence for counterinsurgency parallels the study of civilian criminal events (widely covered in open source media) and can exploit the methodological approaches that emphasize spatially explicit information. Crime research is conducted at aggregate levels, which implies the aggregation of a series of points representing events to areas representing higher scales. This work focused on data quality in point pattern analysis, and on the effect that different levels of data accuracy and precision have on policy recommendations.
“DTIC ADA522284: Actionable Cultural Understanding For Support To Tactical Operations (ACUSTO): The Effect Of Data Quality On Spatial Analysis Results” Metadata:
- Title: ➤ DTIC ADA522284: Actionable Cultural Understanding For Support To Tactical Operations (ACUSTO): The Effect Of Data Quality On Spatial Analysis Results
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA522284: Actionable Cultural Understanding For Support To Tactical Operations (ACUSTO): The Effect Of Data Quality On Spatial Analysis Results” Subjects and Themes:
- Subjects: ➤ DTIC Archive - ENGINEER RESEARCH AND DEVELOPMENT CENTER CHAMPAIGN IL CONSTRUCTION ENGINEERING RESEARCH LAB - *MILITARY OPERATIONS - CULTURE - DATA MANAGEMENT - TACTICAL WARFARE - INTELLIGENCE - DECISION MAKING
Edition Identifiers:
- Internet Archive ID: DTIC_ADA522284
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The book is available for download in "texts" format, the size of the file-s is: 17.05 Mbs, the file-s for this book were downloaded 55 times, the file-s went public at Fri Jul 27 2018.
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9A Sample-Based Approach To Data Quality Assessment In Spatial Databases With Application To Mobile Trajectory Nearest-Neighbor Search
By Bagher Saberi and Nasser Ghadiri
Spatial data is playing an emerging role in new technologies such as web and mobile mapping and Geographic Information Systems (GIS). Important decisions in political, social and many other aspects of modern human life are being made using location data. Decision makers in many countries are exploiting spatial databases for collecting information, analyzing them and planning for the future. In fact, not every spatial database is suitable for this type of application. Inaccuracy, imprecision and other deficiencies are present in location data just as any other type of data and may have a negative impact on credibility of any action taken based on unrefined information. So we need a method for evaluating the quality of spatial data and separating usable data from misleading data which leads to weak decisions. On the other hand, spatial databases are usually huge in size and therefore working with this type of data has a negative impact on efficiency. To improve the efficiency of working with spatial big data, we need a method for shrinking the volume of data. Sampling is one of these methods, but its negative effects on the quality of data are inevitable. In this paper we are trying to show and assess this change in quality of spatial data that is a consequence of sampling. We used this approach for evaluating the quality of sampled spatial data related to mobile user trajectories in China which are available in a well-known spatial database. The results show that sample-based control of data quality will increase the query performance significantly, without losing too much accuracy. Based on this results some future improvements are pointed out which will help to process location-based queries faster than before and to make more accurate location-based decisions in limited times.
“A Sample-Based Approach To Data Quality Assessment In Spatial Databases With Application To Mobile Trajectory Nearest-Neighbor Search” Metadata:
- Title: ➤ A Sample-Based Approach To Data Quality Assessment In Spatial Databases With Application To Mobile Trajectory Nearest-Neighbor Search
- Authors: Bagher SaberiNasser Ghadiri
“A Sample-Based Approach To Data Quality Assessment In Spatial Databases With Application To Mobile Trajectory Nearest-Neighbor Search” Subjects and Themes:
- Subjects: Databases - Computing Research Repository
Edition Identifiers:
- Internet Archive ID: arxiv-1409.2819
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The book is available for download in "texts" format, the size of the file-s is: 0.84 Mbs, the file-s for this book were downloaded 17 times, the file-s went public at Sat Jun 30 2018.
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10Reproducibility Review Of: An Approach To Assess The Effect Of Currentness Of Spatial Data On Routing Quality
By Daniel Nüst and Alexander Kmoch
Reproducibility review completed, adding a registration for proper archival and snapshot.
“Reproducibility Review Of: An Approach To Assess The Effect Of Currentness Of Spatial Data On Routing Quality” Metadata:
- Title: ➤ Reproducibility Review Of: An Approach To Assess The Effect Of Currentness Of Spatial Data On Routing Quality
- Authors: Daniel NüstAlexander Kmoch
Edition Identifiers:
- Internet Archive ID: osf-registrations-kea7q-v1
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The book is available for download in "data" format, the size of the file-s is: 11.08 Mbs, the file-s for this book were downloaded 1 times, the file-s went public at Fri Apr 25 2025.
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11Evaluating The Quality Of Spatial Data For The Analysis Of Climate Variability In The Coastal Region Of Nigeria
By Agbonaye A. I.; Izinyon O. C.
ABSTRACT The lack of truly reliable data for climate change analyses and prediction presents challenges in climate modeling. Needed data are required to be hydrologically/statistically reliable to be useful for hydrological, meteorological, climate change, and estimation studies. Thus, data quality and homogeneity screening are preliminary analyses. In this study, the homogeneity of the climatic data used for analyses of climate variability was conducted in the coastal region of Nigeria. Climatic Research Unit (CRU 0.5× 0.5) gridded monthly climatic data for sixty years (1956- 2016) for nine states of the coastal region of Nigeria obtained from internet sources were validated with the Nigerian Meteorological Agency (NiMet) data to assure adequacy for use. The data were tested for normality using the Shapiro-Wilk (S-W) test, D’Agostino-Pearson omnibus test, and skewness test. Four homogeneity test methods were applied to 257 locations in the nine states of the coastal region of Nigeria and they include Pettit’s, Standard Normal Homogeneity Test (SNHT), Buishand’s and Von Neumann Ratio (VNR) tests. The results of the validity analysis indicated that the CRU data are very reliable and thus justified their use for the further analysis carried out in the study. Also, the results obtained indicated that CRU climatic data series were normally distributed and parametric methods could be used in further analysis of the data. Rainfall data homogeneity was detected for Bayelsa, Delta, Edo, Lagos, Ogun, and Ondo states and inhomogeneity for Akwa Ibom, Cross Rivers, and Rivers States. Also, temperature data inhomogeneity was detected for all the states in the study area.
“Evaluating The Quality Of Spatial Data For The Analysis Of Climate Variability In The Coastal Region Of Nigeria” Metadata:
- Title: ➤ Evaluating The Quality Of Spatial Data For The Analysis Of Climate Variability In The Coastal Region Of Nigeria
- Author: Agbonaye A. I.; Izinyon O. C.
- Language: English
“Evaluating The Quality Of Spatial Data For The Analysis Of Climate Variability In The Coastal Region Of Nigeria” Subjects and Themes:
- Subjects: Climatic data - Normality - Homogeneity - Climate change - CRU
Edition Identifiers:
- Internet Archive ID: 76-90-0236-vol.-5-no.-1-nijest
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The book is available for download in "texts" format, the size of the file-s is: 27.51 Mbs, the file-s for this book were downloaded 113 times, the file-s went public at Mon May 24 2021.
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12DTIC ADA376593: AMC Spatial Data Quality Control Project GPS And Data Management Tutorial
By Defense Technical Information Center
The Army Materiel Command (AMC) is the Army's principal materiel developer. AMC accomplishes its mission through nine major subordinate commands that direct the activities of numerous depots, arsenals, ammunition plants, laboratories, test activities, and procurement operations. AMC installations account for more than 5 million acres of U.S. military land. Many AMC installations use Geographic Information Systems (GIS) for installation management. As with any management tool, GIS requires good data and information on which to base management decisions. In June 1998, the AMC Spatial Data Quality Control Project was initiated to support the stewardship of military land by enhancing the quality of data used for decision making. During the course of the project, knowledge gaps were identified related to Global Positioning System (GPS) use and GIS data management. This Technical Note discusses a short course developed to support training for the greatest number of AMC installations at the lowest cost possible. To minimize the conflicts in scheduling training and to minimize travel costs for training, a CD-ROM computer-based training tool was developed. The tool uses text to portray the information.
“DTIC ADA376593: AMC Spatial Data Quality Control Project GPS And Data Management Tutorial” Metadata:
- Title: ➤ DTIC ADA376593: AMC Spatial Data Quality Control Project GPS And Data Management Tutorial
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA376593: AMC Spatial Data Quality Control Project GPS And Data Management Tutorial” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Patel, Amit K - CONSTRUCTION ENGINEERING RESEARCH LAB (ARMY) CHAMPAIGN IL - *DATA MANAGEMENT - *QUALITY CONTROL - TEST AND EVALUATION - MANAGEMENT INFORMATION SYSTEMS - DECISION MAKING - ARMY FACILITIES - COSTS - SUPPLY DEPOTS - SCHEDULING - GLOBAL POSITIONING SYSTEM - INSTALLATION - AMMUNITION - PROCUREMENT - TRAVEL - INDUSTRIAL PLANTS - ORDNANCE - COMPUTER AIDED INSTRUCTION - LAND AREAS
Edition Identifiers:
- Internet Archive ID: DTIC_ADA376593
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The book is available for download in "texts" format, the size of the file-s is: 5.62 Mbs, the file-s for this book were downloaded 42 times, the file-s went public at Fri Apr 27 2018.
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