Relevant bibliographies by topics / National Spatial Data Infrastructure

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'National Spatial Data Infrastructure'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "National Spatial Data Infrastructure"

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McLaughlin, John, and Sue Nichols. "Developing a National Spatial Data Infrastructure." Journal of Surveying Engineering 120, no. 2 (1994): 62–76. http://dx.doi.org/10.1061/(asce)0733-9453(1994)120:2(62).

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Merodio Gómez, Paloma, Macarena Pérez García, Gabriela García Seco, Andrea Ramírez Santiago, and Catalina Tapia Johnson. "The Americas’ Spatial Data Infrastructure." ISPRS International Journal of Geo-Information 8, no. 10 (2019): 432. http://dx.doi.org/10.3390/ijgi8100432.

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During the last decade, the production of geospatial information has increased considerably; however, managing and sharing this information has become increasingly difficult for the organizations that produce it, because it comes from different data sources and has a wide variety of users. In this sense, to have a better use of geospatial information, several countries have developed national spatial data infrastructures (SDIs) to improve access, visualization, and integration of their data and in turn, have the need to cooperate with other countries to develop regional SDIs, which allow bette
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Wortman, Kathryn C. "Developing Standards for a National Spatial Data Infrastructure." Cartography and Geographic Information Systems 21, no. 3 (1994): 132–35. http://dx.doi.org/10.1559/152304094782602872.

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Tosta, Nancy. "Standards to support the national spatial data infrastructure." StandardView 2, no. 3 (1994): 143–47. http://dx.doi.org/10.1145/202749.202756.

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Mildorf, Tomáš, and Václav Čada. "Reference Data as a Basis for National Spatial Data Infrastructure." Geoinformatics FCE CTU 9 (December 22, 2012): 51–62. http://dx.doi.org/10.14311/gi.9.5.

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Spatial data are increasingly being used for a range of applications beyond their, traditional uses. Collection of such data and their update constitute a substantial part of the total costs for their maintenance. In order to ensure sustainable development in the area of geographic information systems, efficient data custody and coordination mechanisms for data sharing must be put in place. This paper shows the importance of reference data as a basis for national spatial data infrastructure that serves as a platform for decision making processes in society. There are several European initiativ
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Karpinskyi, Yurii, and Nadiia Lazorenko-Hevel. "Topographic mapping in the National Spatial Data Infrastructure in Ukraine." E3S Web of Conferences 171 (2020): 02004. http://dx.doi.org/10.1051/e3sconf/202017102004.

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The article proposes a new development concept of topographic mapping in Ukraine. It is based on the implementation of a new system model that responds to the geoinformation approach to topographic mapping in the development of national geospatial data infrastructure (NSDI) and provides the creation of geospatial data sets in the form of databases and knowledge bases based on existing standards and specifications: series of international standards ISO 19100 “Geographic information/Geomatics”, Open Geospatial Consortium (OGS), INSPIRE, State Standards of Ukraine (DSTU), Complex of Standards Org
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Kalantari Oskouei, A., M. Modiri, A. Alesheikh, R. Hosnavi, and M. A. Nekooie. "An analysis of the national spatial data infrastructure of Iran." Survey Review 51, no. 366 (2018): 225–37. http://dx.doi.org/10.1080/00396265.2017.1420586.

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Chabaniuk, V., and O. Dyshlyk. "National spatial data infrastructure (nsdi) of Ukraine: what are its actual, feasible and simultaneously "correct" models?" Zemleustrìj, kadastr ì monìtorìng zemelʹ, no. 3 (August 28, 2021): 11. http://dx.doi.org/10.31548/zemleustriy2021.03.11.

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The actual, feasible and simultaneously "correct" models of digital NSDI of Ukraine are considered in the work. A model of the existed digital NSDI system of Ukraine is named “actual”. This model already differs from the model defined by the [1]. As the latter is unlikely to be implemented in the near future, the issue of the digital feasible NSDI model of Ukraine in the next five years, which would take into account the actual model, is especially acute. In addition to feasibility, such a model must also be "correct", what is proposed in the article. The correct is called a model, the truth o
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Asseng, Bau, Zulkarnain Abdul Rahman, and Mohamad Nor Said. "DETERMINANT FACTORS OF SPATIAL DATA SHARING OF LOCAL SPATIAL DATA INFRASTRUCTURE IN INDONESIA." GEOMATIKA 24, no. 1 (2018): 1. http://dx.doi.org/10.24895/jig.2018.24-1.734.

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<p>This study is based on the phenomenon of the weakness of local government’s response to the national program of Spatial Data Infrastructure for the effective spatial data sharing in Indonesia. This study is investigation of determinant factors of spatial data sharing for local Spatial Data Infrastructure in Indonesia. The purpose of this study is to describe the spatial data-sharing model of Local SDI in Indonesia. It was conducted in West Java Province, Bogor Regency, and Bogor City. Sequential exploratory design method consisting of interview and questionnaire were used in this rese
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Parida, P. K., and S. Tripathi. "ODISHA SPATIAL DATA INFRASTRUCTURE (OSDI) – ITS DATA MODEL, META DATA AND SHARING POLICY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-5 (November 15, 2018): 21–28. http://dx.doi.org/10.5194/isprs-annals-iv-5-21-2018.

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<p><strong>Abstract.</strong> Recognizing the potential utility and importance of a large quantity of spatial data generated using public funds by the Government Departments, organizations and institutions of the State for good governance and taking into consideration that most of such spatial data remains inaccessible to common citizen although most of such data may be unrestricted and not sensitive in nature and also most of such data generated at different State Government Departments do not have compatibility due to lack of common standards and non-interoperability and fu
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Dissertations / Theses on the topic "National Spatial Data Infrastructure"

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Warnest, Mathew. "A collaboration model for national spatial data infrastructure in federated countries." Connect to thesis, 2005. http://repository.unimelb.edu.au/10187/1518.

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Spatial information is increasingly acknowledged as a national resource essential for sustainable development. Spatial Data Infrastructure (SDI) is part of the basic infrastructure that needs to be efficiently coordinated and managed in the interests of the nation. However, there is no framework or adequate knowledge available for users, providers and administrators of SDI to collaborate effectively to build National SDI. In countries that are a federation of states, administration is dispersed across multiple tiers of government. The system of governance and constitution in a federated countr
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Al-Haidan, Khalid Abdulrahman. "Towards a national spatial data infrastructure for the Kingdom of Bahrain." Thesis, University of Newcastle Upon Tyne, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.577149.

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Geographic Information (GI) is information about any location, feature, shape, or object linked to its location in the earth surface by set of coordinates (geographically referenced). GI is important for any nation, since it holds knowledge about the main infrastructures. The availability of this type of data supports any country in planning, decision making, business, and in providing services. Many countries from both the developing and the developed world have felt it important to have integrated databases for geographic information at the national level to satisfy end user needs of GI from
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Alshehri, Saad Abdulrahman F. "National spatial data infrastructure collaboration for the Kingdom of Saudi Arabia." Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/12174/.

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Spatial data is a vital national resource necessary for a country’s efficient and sustainable economic, social and environmental development, and so must be properly developed and managed. In the Kingdom of Saudi Arabia (KSA), there is lack of knowledge and no clear framework describing the optimal way for stakeholders, users, providers or administrators, to collaborate effectively in establishing a National Spatial Data Infrastructure (NSDI). Moreover, the complex, multi-layer and multi-jurisdiction system of government leads to competing interests and mandates in coordinating spatial activit
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Al-Shahrani, Abdullah M. R. "Towards the development of a strategy for a national spatial data infrastructure." Thesis, University of Nottingham, 2002. http://eprints.nottingham.ac.uk/11010/.

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In today's world of ever advancing technology the time is precisely right for investment in the development and implementation of a national spatial data infrastructure. This implies that all spatial data presently scattered in different departments and organisations are coordinated and shared. In the Kingdom of Saudi Arabia there are a number of different mapping and Geographic Information System (GIS) activities being implemented within various government organisations, each with its own merits. Certain research and pilot projects have also been carried out aiming to provide help and recomme
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Sebake, Malete Daniel. "Assessing the motivators and barriers of interorganizational GIS data sharing for address data in South Africa." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/24514.

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Address data within geographic information systems (GIS) is used as reference data to link personal and administrative information, thus making it possible to locate and deliver goods and services to eligible persons. Preferably, every country must develop and maintain a single national address database (NAD) to eliminate data redundancy and provide a common point of reference across the board. In South Africa, the challenge is that there are separate address databases, which are developed and maintained by various public and private organizations – with little or no cooperation on data sharin
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Kuznetsova, O. "Spatial data infrastructure for ecological environment." Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/31623.

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The main objective is to ensure the sustainable development of Energy, requires the development of enterprise geographic information systems (GIS) for the modeling of energy systems. The corporate GIS in Ukraine will increase the energy efficiency of the management of energy companies. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/31623
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Davies, Jessica. "Expanding the spatial data infrastructure model to support spatial wireless applications /." Connect to thesis, 2003. http://eprints.unimelb.edu.au/archive/00001044.

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Wiemann, Stefan. "Data Fusion in Spatial Data Infrastructures." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-216985.

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Over the past decade, the public awareness and availability as well as methods for the creation and use of spatial data on the Web have steadily increased. Besides the establishment of governmental Spatial Data Infrastructures (SDIs), numerous volunteered and commercial initiatives had a major impact on that development. Nevertheless, data isolation still poses a major challenge. Whereas the majority of approaches focuses on data provision, means to dynamically link and combine spatial data from distributed, often heterogeneous data sources in an ad hoc manner are still very limited. However,
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Li, Tao. "Spatial Data Infrastructure (SDI) in China : Some potentials and shortcomings." Thesis, Gävle : University of Gävle. Department of Business Administration and Economics, 2008. http://www.diva-portal.org/smash/get/diva2:139475/FULLTEXT01.

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Makanga, Prestige Tatenda. "A new trajectory for spatial data infrastructure evolution in the developing world." Master's thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/5175.

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Includes abstract.<br>Includes bibliographical references (leaves 107-113).<br>Spatial Data is a key resource in the development of cities. There is a lot of socio-economic potential that is locked away in spatial data holdings and this potential is unlocked by making the datasets widely available for use. Spatial Data Infrastructures (SDIs) have served this primary purpose; to make data accessible through the use of web based technologies. However, SDIs have not had their anticipated impact at local levels of governance. They have traditionally served as platforms that facilitate access to ra
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Books on the topic "National Spatial Data Infrastructure"

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United States. Bureau of Land Management. National spatial data infrastructure implementation plan. U.S. Department of the Interior, Bureau of Land Management, 1994.

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National Research Council (U.S.). Mapping Science Committee., ed. Promoting the national spatial data infrastructure through partnerships. National Academy Press, 1994.

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Geological Survey (U.S.), ed. The value of metadata: National spatial data infrastructure. U.S. Geological Survey, 1998.

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Geological Survey (U.S.), ed. The value of metadata: National spatial data infrastructure. U.S. Geological Survey, 1998.

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United States. Federal Geographic Data Committee and Geological Survey (U.S.), eds. A strategy for the National Spatial Data Infrastructure. Federal Geographic Data Committee, 1997.

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Geological Survey (U.S.), ed. The value of metadata: National spatial data infrastructure. [U.S. Geological Survey, 1996.

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United States. Federal Geographic Data Committee. Cadastral Subcommittee. Technical Advisory Group. Cadastral standards for the National Spatial Data Infrastructure. Federal Geographic Data Committee Secretariat, 1994.

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Geological Survey (U.S.), ed. The value of metadata: National spatial data infrastructure. [U.S. Geological Survey, 1996.

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Geological Survey (U.S.), ed. The value of metadata: National spatial data infrastructure. U.S. Geological Survey, 1998.

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National Research Council (U.S.). Mapping Science Committee, ed. National Spatial Data Infrastructure partnership programs: Rethinking the focus. National Academy Press, 2001.

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Book chapters on the topic "National Spatial Data Infrastructure"

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Binder Maitra, Julie. "National Spatial Data Infrastructure (NSDI)." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_860.

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Binder Maitra, Julie. "National Spatial Data Infrastructure (NSDI)." In Encyclopedia of GIS. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_860-2.

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Maitra, Julie Binder. "National Spatial Data Infrastructure (NSDI)." In Encyclopedia of GIS. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_860.

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Acharya, P. S., and N. L. Sarda. "National Data Registry (NDR) for the National Spatial Data Infrastructure (NSDI)." In Geospatial Infrastructure, Applications and Technologies: India Case Studies. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2330-0_3.

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Masser, Ian. "Reflections on the Indian National Spatial Data Infrastructure." In Geographic Information Systems to Spatial Data Infrastructure. CRC Press, 2019. http://dx.doi.org/10.1201/9780429505904-16.

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Acharya, P. S., and S. Pandey. "National Spatial Data Infrastructure India (NSDI-India)—Present Status and the Future Strategies." In Geospatial Infrastructure, Applications and Technologies: India Case Studies. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2330-0_2.

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Ghosh, S. K. "Human Resource Development in Geospatial Data Modeling and Services for Better Realization of National Spatial Data Infrastructure." In Geospatial Infrastructure, Applications and Technologies: India Case Studies. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2330-0_7.

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Vega, Marco Antonio Lopez, Stephane Couturier, and Ranulfo Rodriguez Sobreyra. "A Big Data: Oriented Spatial Data Infrastructure for the Mexican National Laboratory for Earth Observation (LANOT)." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53960-2_36.

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Živković, Ljiljana. "National Spatial Data Infrastructure (NSDI) for Resilient Territorial Development: Building a National Disaster Risk Register (DRR) for Serbia." In Computational Science and Its Applications – ICCSA 2024 Workshops. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65238-7_12.

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Habib, Maan. "Grid-on-Grid Transformation for Integrating Spatial Reference System of Multi-source Data." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2532-2_53.

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AbstractThe accessible, up-to-date, reliable, and usable data are considered sustainability tools for developing spatial data infrastructure. Geospatial data come from multi-sources and are georeferenced using an appropriate mapping reference system. Artificial satellite positioning data are now defined on a global geocentric frame, whereas traditional geodetic networks were built on a national datum. Hence, three-dimensional (3D) coordinate transformations are required for data harmonization using control points that can be caused some discrepancies between the physical reality and represented positions. In practice, grid-on-grid conversion is a mathematical model matching GNSS observations and official spatial data through two common datasets to minimize the datum-to-datum transformation errors. This research conducts a comparative analytical study of the conformal polynomial algorithms for map-matching with global coordinates utilizing least-squares estimation. The findings indicated that the proposed approach provides superior performance and employs any area with high accuracy.
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Conference papers on the topic "National Spatial Data Infrastructure"

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S, Adhik, Vikram Cherala, Avik Gosh, and Pradeep Kumar Yemula. "Smart Charging Station Infrastructure: A Data-Driven Approach to EV Charging Station Management." In 2024 23rd National Power Systems Conference (NPSC). IEEE, 2024. https://doi.org/10.1109/npsc61626.2024.10986894.

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Mishra, Moumita, Bhargab Maitra, and Soumya K. Ghosh. "Estimation of Road Accident Severity Using K-Means Clustering of Spatio-Temporal Data with Backend Spatial Data Infrastructure." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642682.

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Gulben, Daxter William L., Ellen Jane G. Gulben, Bryan M. Pining, and Jeeng-Min Ling. "A Spatial Data-Driven Approach to Managing Electrical Infrastructure: A Case Study at USTP Campus." In 2025 7th Global Power, Energy and Communication Conference (GPECOM). IEEE, 2025. https://doi.org/10.1109/gpecom65896.2025.11061883.

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Sato, Aki-Hiro. "Spatial Big Data Infrastructure for the Japanese Hyper-spectral Imager SUIte (HISUI) based on World Grid Square Statistics." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825397.

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Thirakultomorn, Tinn, Athiwat Phinyoyang, Wilawan Prasomsup, Sumitta Khosungnoen, and Kodchakon Phonak. "Accuracy Assessment of UAV-Derived Data from Multi-Flight Plans with RTK GNSS Surveys." In 2024 Geoinformatics for Spatial-Infrastructure Development in Earth and Allied Sciences (GIS-IDEAS). IEEE, 2024. https://doi.org/10.1109/gis-ideas63212.2024.10991304.

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Inturi, Srivani, Mark Golkowski, Ashis Kumer Biswas, Venkata Ratnam Devanaboyina, and Anmol Singhal. "Forecasting Global VTEC Data from VISTA with High Spatial and Temporal Resolution Using a Transformer-Based Deep Learning Model." In 2025 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM). IEEE, 2025. https://doi.org/10.23919/usnc-ursinrsm66067.2025.10907015.

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Cooke, Donald F. "National Spatial Data Infrastructure for IVHS in the USA." In Vehicle Navigation & Instrument Systems. SAE International, 1991. http://dx.doi.org/10.4271/912750.

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"National spatial data infrastructure for IVHS in the USA." In 1991 Vehicle Navigation and Information Systems Conference. IEEE, 1991. http://dx.doi.org/10.1109/vnis.1991.205762.

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Ristic, Aleksandra. "MODELING CADASTRAL RECORDS AS A PART OF NATIONAL SPATIAL DATA INFRASTRUCTURE." In SGEM2011 11th International Multidisciplinary Scientific GeoConference and EXPO. Stef92 Technology, 2011. http://dx.doi.org/10.5593/sgem2011/s11.106.

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Thompson, Derek, Jeffrey Burka, and Gary Marchionini. "Connecting citizens to the National Spatial Data Infrastructure via local libraries (poster)." In the second ACM international conference. ACM Press, 1997. http://dx.doi.org/10.1145/263690.264350.

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Reports on the topic "National Spatial Data Infrastructure"

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Cavazzi, Stefano, and Roger Brackin, eds. Testbed-12 Arctic Spatial Data Infrastructure Engineering Report. Open Geospatial Consortium, Inc., 2017. http://dx.doi.org/10.62973/16-063.

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Michalak, Julia, Josh Lawler, John Gross, and Caitlin Littlefield. A strategic analysis of climate vulnerability of national park resources and values. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2287214.

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The U.S. national parks have experienced significant climate-change impacts and rapid, on-going changes are expected to continue. Despite the significant climate-change vulnerabilities facing parks, relatively few parks have conducted comprehensive climate-change vulnerability assessments, defined as assessments that synthesize vulnerability information from a wide range of sources, identify key climate-change impacts, and prioritize vulnerable park resources (Michalak et al. In review). In recognition that funding and planning capacity is limited, this project was initiated to identify geogra
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Gupta, Ajay, Eddie Oldfield, Luis Bermudez, and Scott Serich, eds. Health Spatial Data Infrastructure: Application Areas, Recommendations, and Architecture. Open Geospatial Consortium, Inc., 2020. http://dx.doi.org/10.62973/19-076.

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Leidner, Alan, Mark Reichardt, and Joshua Lieberman, eds. Health Spatial Data Infrastructure Concept Development Study Engineering Report. Open Geospatial Consortium, Inc., 2022. http://dx.doi.org/10.62973/21-021.

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Laughlin, Glenn, ed. OGC Federated Marine Spatial Data Infrastructure Pilot 2023 - Connecting Land and Sea for Global Awareness. Open Geospatial Consortium, Inc., 2024. http://dx.doi.org/10.62973/23-027.

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Coetzee, Serena, Antony K. Cooper, and Samy Katumba. Governing the GCR series: Strengthening governance in the GCR through a spatial data infrastructure - the case of address data. Gauteng City-Region Observatory, 2020. http://dx.doi.org/10.36634/vjqe3973.

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Schaeffer, Roberto, Roxana Barrantes, Aldebaro Klautau, et al. A NEW INFRASTRUCTURE FOR THE AMAZON. Sustainable Development Solutions Network (SDSN), 2023. http://dx.doi.org/10.55161/yjzh4639.

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Infrastructure in the Amazon has prioritized national development and other interests, which were generally tilted towards extractive activities (mining, energy, agriculture/cattle) and domestic industrial policies (e.g., Manaus Free Zone) rather than needs of local populations or environmental concerns, such as maintaining and protecting the high diversity of terrestrial and aquatic ecosystems, resulting in an unsustainable, low-quality development process. A new paradigm is necessary for adapting existing infrastructure, and for planning and building future infrastructure, at both national a
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Bigl, Matthew, Caitlin Callaghan,, Jacqueline Willan, Paulina Lintsai, and Jamie Potter. Energy Atlas—mapping energy-related data for DoD lands : Phase 3—data and portal expansion : Northeast CONUS. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47823.

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The DoD is a significant land user in northeast United States overseeing approximately 375 k acres of land with a total value of $113 B. The Department of Energy has found that major impacts from climate change will threaten energy infrastructure in the northeast US moving into the future. Current spatial information related to the energy resources and infrastructure on and adjacent to DoD installations can play a vital role in decision-making for sustainable and resilient installation planning in the region. The Energy Atlas (EA) portal provides a secure value-added resource to inform the dec
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Peterson, Brian, J. M. Hutchinson, Bijan Gurung, and J. Beeco. Exploring spatial patterns of overflights at Acadia National Park. National Park Service, 2025. https://doi.org/10.36967/2310324.

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This study explored spatial patterns of overflights at Acadia National Park. Data were collected at McFarland Hill Air Resource Station. Overflights were analyzed from March 21st, 2023–October 8th, 2024 (491 total days of collected data; 77 days of missing data) using Automatic Dependent Surveillance-Broadcast (ADS-B) data. Phase 1 of the analysis focused on all overflights and found a high concentration of overflights above ACAD. Phase 2 of analysis focused on low-level overflights that fly between 1 to 3,000 feet above mean sea level (MSL) and found that overflight waypoints had a mean altit
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Peterson, Brian, J. M. Shawn Hutchinson, Bijan Gurung, Tyra Olstad, and Adam Beeco. Exploring spatial patterns of overflights at Glacier National Park. National Park Service, 2025. https://doi.org/10.36967/2309483.

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This study explored spatial patterns of overflights at Glacier National Park (GLAC). Data were collected at Apgar Mountain. Overflights were analyzed from September 1st, 2021–September 19th, 2024 (1,115 total days; 37 days of missing data) using Automatic Dependent Surveillance-Broadcast (ADS-B) data. Phase 1 of the analysis focused on all overflights and found concentrations of overflights above GLAC. Phase 2 of analysis focused on low-level overflights that flew between 3,000 and 12,000 feet above mean sea level (MSL) and flew within 10 miles of the GLAC boundary finding that the majority of
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