Letteratura scientifica selezionata sul tema "Geospatial maps"
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Articoli di riviste sul tema "Geospatial maps"
Kamimura, Kaito. "GSI Maps – Showcase of National Geospatial Data". Abstracts of the ICA 1 (15 luglio 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-158-2019.
Testo completoMogi, Hirosato. "The advancement of utilizing geospatial information via GSI Maps". Abstracts of the ICA 1 (15 luglio 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-252-2019.
Testo completoXu, Haijiang, Tinghua Ai, Qingsheng Guo e Yi Xiao. "From Maps to Geospatial Knowledge Graph: Geospatial Knowledge Representation and Reasoning". Abstracts of the ICA 6 (12 agosto 2023): 1–2. http://dx.doi.org/10.5194/ica-abs-6-279-2023.
Testo completoLe, Phuong-Phi. "Patient access to opioid substitution treatment pharmacy and medical service providers in South Australia: geospatial mapping". Australian Journal of Primary Health 25, n. 2 (2019): 125. http://dx.doi.org/10.1071/py18099.
Testo completoMuthu, Sabarish Senthilnathan, Eleni Gkadolou e Emmanuel Stefanakis. "Historical Map Collections on Geospatial Web". GEOMATICA 67, n. 3 (settembre 2013): 163–71. http://dx.doi.org/10.5623/cig2013-035.
Testo completoKong, Ningning Nicole. "One store has all? - the backend story of managing geospatial information toward an easy discovery". IASSIST Quarterly 42, n. 4 (22 febbraio 2019): 1–14. http://dx.doi.org/10.29173/iq927.
Testo completoCherif, Mohamed Abderrazak, Sebastien Tripodi, Yuliya Tarabalka, Isabelle Manighetti e Lionel Laurore. "Novel Approaches for Aligning Geospatial Vector Maps". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2-2024 (11 giugno 2024): 55–64. http://dx.doi.org/10.5194/isprs-archives-xlviii-2-2024-55-2024.
Testo completoHochmair, Hartwig, e Adam Benjamin. "Spatial Measurements on USGS Topo Maps". EDIS 2021, n. 1 (16 febbraio 2021): 7. http://dx.doi.org/10.32473/edis-fr433-2021.
Testo completoChuan Yin, Chuan Yin, Yanhui Wang Chuan Yin, Duoduo Yin Yanhui Wang, Wanzeng Liu Duoduo Yin, Hao Wu Wanzeng Liu e Kexin Liu Hao Wu. "Rapid Production Method of Massive Thematic Maps Based on Geospatial Knowledge Extraction". 電腦學刊 35, n. 2 (aprile 2024): 285–301. http://dx.doi.org/10.53106/199115992024043502018.
Testo completoGaata, Methaq Talib. "Robust Watermarking Scheme for GIS Vector Maps". Ibn AL- Haitham Journal For Pure and Applied Science 31, n. 1 (10 maggio 2018): 277. http://dx.doi.org/10.30526/31.1.1835.
Testo completoTesi sul tema "Geospatial maps"
Norwood, Carla Michele Holt Flora L. "Making maps that matter? the role of geospatial information in addressing rural landscape change /". Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2009. http://dc.lib.unc.edu/u?/etd,2546.
Testo completoTitle from electronic title page (viewed Oct. 5, 2009). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Curriculum for the Environment and Ecology." Discipline: Anthropology; Department/School: Anthropology.
Kasperi, Johan. "Occlusion in outdoor Augmented Reality using geospatial building data". Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204442.
Testo completoFör att uppnå en god användarupplevelse i Augmented Reality (AR) så är det viktigt att simulera fysiska interaktioner mellan de virtuella och reella objekten. Om man inte gör det kan användare uppfatta saker som djup, avstånd och storlek felaktigt. En av dessa simulationer är ocklusion som innebär att det virtuella innehållet ska vara delvis eller helt ockluderat om ett reellt objekt finns i siktlinjen mellan användaren och innehållet. För att simulera detta är utmaningen att rekonstruera den geometriska modellen av den nuvarande miljön.Tidigare studier inom fältet har försökt att uppnå en perfekt simulation av ocklusion, men majoriteten av dem har då krävt antingen djupavkännande hårdvara eller en statisk fördefinierad miljö. Denna studie föreslår och utvärderar en alternativ modellbaserad lösning på problemet. Lösningen använder geospatial data för att rekonstruera den geometriska modellen av alla byggnader i den nuvarande omgivningen, vilket resulterar i att det virtuella innehållet blir ockluderat av alla reella byggnader i den nuvarande miljön. Den utvecklade funktionen blev i och med det kompatibel på icke djupavkännande enheter och fungerande i en dynamisk urban miljö. För attutvärdera denna funktion så var den implementerad i en sensorbaserad AR applikation som visualiserade en framtida byggnad i Stockholm. Resultatet visade att den utvecklade funktionen ockluderade den virtuella byggnaden som förväntat. Dock gjorde den ej det helt realistiskt, men resultatet från den utförda användarstudien visade att den uppnådde sitt mål. Majoriteten av deltagarna ansåg att deras AR upplevelse blev bättre med den utvecklade funktionen aktiverad och ett deras uppfattning av djup förbättrades. Dock kan inga definitiva slutsatser dras eftersom AR applikationen hade problem med den sensorbaserade spårningen. Resultaten är intressant för det mobila AR fältet eftersom majoriteten av alla smartphones ej har stöd för djupavkänning. Att använda geospatial data för att simulera ocklusion, eller någon annan fysisk interaktion mellan virtuella och reella objekt, kan då vara en tillräckligt effektiv lösning tills djupavkännande AR enheter används mer.
Virinchi, Billa. "Data Visualization of Telenor mobility data". Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13951.
Testo completoWeiss, Jeremy, e Michael Crimmins. "DroughtView: Satellite-based Drought Monitoring and Assessment". College of Agriculture, University of Arizona (Tucson, AZ), 2017. http://hdl.handle.net/10150/625291.
Testo completoRemotely sensed data are valuable for monitoring, assessing, and managing impacts to arid and semi-arid lands caused by drought or other changes in the natural environment. With this in mind, we collaborated with scientists and technologists to redevelop DroughtView, a web-based decision-support tool that combines satellite-derived measures of surface greenness with additional geospatial data so that users can visualize and evaluate vegetation dynamics across space and over time. To date, users of DroughtView have been local drought impact groups, ranchers, federal and state land management staff, environmental scientists, and plant geographers. Potential new applications may include helping to track wildland fire danger. Here, we present the functionality of DroughtView, including new capabilities to report drought impacts and share map information, as well as the data behind it.
Hollinger, David L. "Crop Condition and Yield Prediction at the Field Scale with Geospatial and Artificial Neural Network Applications". Kent State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=kent1310493197.
Testo completoKobakian, Stephanie Rose. "New algorithms for effectively visualising Australian spatio-temporal disease data". Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/203908/1/Stephanie_Kobakian_Thesis.pdf.
Testo completoPalacios, Castro Harold Jesús Alberto, e Elias Kevin Jorge Pérez. "Implementación de bases geoespaciales para la vulnerabilidad sísmica de edificios de concreto armado". Bachelor's thesis, Universidad Ricardo Palma, 2015. http://cybertesis.urp.edu.pe/handle/urp/1323.
Testo completoCherif, Mohamed Abderrazak. "Alignement et fusion de cartes géospatiales multimodales hétérogènes". Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ5002.
Testo completoThe surge in data across diverse fields presents an essential need for advanced techniques to merge and interpret this information. With a special emphasis on compiling geospatial data, this integration is crucial for unlocking new insights from geographic data, enhancing our ability to map and analyze trends that span across different locations and environments with more authenticity and reliability. Existing techniques have made progress in addressing data fusion; however, challenges persist in fusing and harmonizing data from different sources, scales, and modalities.This research presents a comprehensive investigation into the challenges and solutions in vector map alignment and fusion, focusing on developing methods that enhance the precision and usability of geospatial data. We explored and developed three distinct methodologies for polygonal vector map alignment: ProximityAlign, which excels in precision within urban layouts but faces computational challenges; the Optical Flow Deep Learning-Based Alignment, noted for its efficiency and adaptability; and the Epipolar Geometry-Based Alignment, effective in data-rich contexts but sensitive to data quality. Additionally, our study delved into linear feature map alignment, emphasizing the importance of precise alignment and feature attribute transfer, pointing towards the development of richer, more informative geospatial databases by adapting the ProximityAlign approach for linear features like fault traces and road networks. The fusion aspect of our research introduced a sophisticated pipeline to merge polygonal geometries relying on space partitioning, non-convex optimization of graph data structure, and geometrical operations to produce a reliable fused map that harmonizes input vector maps, maintaining their geometric and topological integrity.In practice, the developed framework has the potential to improve the quality and usability of integrated geospatial data, benefiting various applications such as urban planning, environmental monitoring, and disaster management. This study not only advances theoretical understanding in the field but also provides a solid foundation for practical applications in managing and interpreting large-scale geospatial datasets
Liu, Yung-I. "The Influence of Communication Context on Political Cognition in Presidential Campaigns: A Geospatial Analysis". Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1211994930.
Testo completoFombuena, Valero Arnau. "Geospatial Social Network lnnovation Assessment of the Spanish Higher Education". Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/107943.
Testo completoThe current context is one of crisis in the European area, especially in the southern countries. To put an end to the crisis, the European Union elaborated the Horizon 2020 strategy focusing on innovation to tackle the socio-economic challenges. Innovation has an impact on society and, as a result on the territory inhabited by the people forming such society. Employing a geospatial perspective allows performing a type of analysis that is seldom approached by higher education experts, who tend to focus on purely statistical methodologies. The main goal of this dissertation is the development of a model that uses GIS for innovation assessment from the perspective of universities and the territory. Then, through application of the model for the case of the assessment of innovation produced by the Spanish universities listed in CRUE in the year 2015, the secondary goal is to identify patterns that may unearth new significant information. The results show spatial patterns and the potential of improving the current methods of assessing innovation. The model presented in this thesis does provide an innovative solution to better understand innovation networks and their effect on the territory. In the specific case studied, the assessment provides an easy-to-understand solution for decision makers in the different provinces. The decision makers can then identify what type of institutions are driving innovation and where they are located, what connections they have and how to improve their innovation results through the identification of significant partners. Furthermore, the funding for research and innovation could be better directed towards those institutions with the higher potential.
El context actual és el d'una crisi a la Unió Europea, especialment als països del sud. Per acabar amb la crisi, la Unió Europea va elaborar l'estratègia Horizon2020 que es centra en la innovació per afrontar els desafiaments socio-econòmics. La innovació té un impacte en la societat i per tant també sobre el territori en el que habiten les persones que formen eixa societat. L'ús de la perspectiva geoespacial permet realitzar un tipus d'anàlisi que és rarament utilitzat pels experts en Educació Superior que solen centrar-se en metodologies purament estadístiques. L'objectiu principal d'aquesta tesi és el desenvolupament d'un model que utilitza els Sistemes d'Informació Geogràfica per avaluar la innovació des del punt de vista de les universitats i el territori. A més, a través de l'aplicació d'aquest model per al cas específic de la innovació produïda per les universitats espanyoles que formen part de la Conferència de Rectors de les Universitats Espanyoles durant l'any 2015, un segon objectiu és identificar patrons i tendències que puguen mostrar nova informació. Els resultats mostren aquests patrons així com la possibilitat de millorar els mètodes actuals de l'avaluació de la innovació. El model presentat en aquesta tesi proveeix una solució per comprendre millor les xarxes d'innovació i el seu efecte sobre el territori. Al cas específic estudiat, l'avaluació ofereix una solució que és fàcil de comprendre per a les persones responsables de la presa de decisions en cadascuna de les províncies espanyoles. Aquestes persones poden identificar quins tipus d'institucions promouen la innovació i on es troben, quines connexions tenen i com millorar els resultats d'innovació a través de la identificació de socis significatius. A més, el finançament d'investigació podria dirigir-se millor cap aquelles institucions amb major potencial d'innovació.
Fombuena Valero, A. (2018). Geospatial Social Network lnnovation Assessment of the Spanish Higher Education [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/107943
TESIS
Libri sul tema "Geospatial maps"
Ohio Geographically Referenced Information Program., a cura di. Contacts for geospatial data sets of Ohio, 1997. Columbus: Ohio Geographically Referenced Information Program, 1997.
Cerca il testo completoBaker, Nancy T. National Stream Quality Accounting Network and National Monitoring Network Basin Boundary Geospatial Dataset, 2008-13. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2011.
Cerca il testo completoAn introduction to web mapping & geospatial web services. North Charleston: CreateSpace Independent Publishing Platform, 2015.
Cerca il testo completoRogerson, Peter. Statistical detection and surveillance of geographic clusters. Boca Raton: Chapman & Hall/CRC, 2009.
Cerca il testo completoWorkshop National Geospatial Data Infrastructure: Towards a Road Map for India (2001 New Delhi, India). Workshop National Geospatial Data Infrastructure: Towards a Road Map for India, 5-6 February 2001, New Delhi India. Noida: Centre for Spatial Database Management and Solutions, 2001.
Cerca il testo completoFoody, Giles, Peter Mooney, Cidália Costa Fonte, Ana Maria Olteanu Raimond, Steffen Fritz e Linda See, a cura di. Mapping and the Citizen Sensor. London, United Kingdom: Ubiquity Press, 2017.
Cerca il testo completoHow to Make Maps. Taylor & Francis Group, 2020.
Cerca il testo completoHow to Make Maps. Taylor & Francis Group, 2020.
Cerca il testo completoAnthamatten, Peter. How to Make Maps: An Introduction to Theory and Practice of Cartography. Taylor & Francis Group, 2020.
Cerca il testo completoAnthamatten, Peter. How to Make Maps: An Introduction to Theory and Practice of Cartography. Taylor & Francis Group, 2020.
Cerca il testo completoCapitoli di libri sul tema "Geospatial maps"
Del Rio, Nicholas, Paulo Pinheiro da Silva, Ann Q. Gates e Leonardo Salayandia. "Semantic Annotation of Maps Through Knowledge Provenance". In GeoSpatial Semantics, 20–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-76876-0_2.
Testo completoCartwright, William. "An Investigation of Maps and Cartographic Artefacts of the Gallipoli Campaign 1915: Military, Commercial and Personal". In Geospatial Visualisation, 19–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-12289-7_2.
Testo completoKraak, Menno-Jan. "Maps of time". In The Routledge Handbook of Geospatial Technologies and Society, 541–53. London: Routledge, 2023. http://dx.doi.org/10.4324/9780367855765-44.
Testo completoIdrissi, Nisrine, Fatimazahra ElMadani, Meryem Idrissi, Mohammed Ben Abbou, Mustapha Taleb e Zakia Rais. "The Effect of Surface Water Pollution on the Incidence of Viral Hepatitis: A Spatial Assessment Using GIS Maps". In Geospatial Technology, 69–81. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24974-8_5.
Testo completoChiang, Yao-Yi, Muhao Chen, Weiwei Duan, Jina Kim, Craig A. Knoblock, Stefan Leyk, Zekun Li et al. "GeoAI for the Digitization of Historical Maps". In Handbook of Geospatial Artificial Intelligence, 217–47. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003308423-11.
Testo completoLangran, Elizabeth, e Janine DeWitt. "Place-Based Learning, Geospatial Literacy, and Maps". In Navigating Place-Based Learning, 1–24. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55673-0_1.
Testo completoRoosens, Dieter, Kris McGlinn e Christophe Debruyne. "Using Maps for Interlinking Geospatial Linked Data". In Lecture Notes in Computer Science, 209–26. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33246-4_14.
Testo completoChen, Yang. "Urban Green Space Maps Based on GeoAI". In Handbook of Geospatial Approaches to Sustainable Cities, 75–93. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003244561-7.
Testo completoBock, Fabian, Jiaqi Liu e Monika Sester. "Learning On-Street Parking Maps from Position Information of Parked Vehicles". In Geospatial Data in a Changing World, 297–314. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33783-8_17.
Testo completoDéri, Andrea. "Maps, Knowledge and Resilience: Application of ArcGIS in Building Small Islands’ Resilience to Climate Change". In Geospatial Technologies and Climate Change, 137–74. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01689-4_9.
Testo completoAtti di convegni sul tema "Geospatial maps"
Dahiya, Manjeet, Devendra Samatia e Kabir Rustogi. "Learning locality maps from noisy geospatial labels". In SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3341105.3373933.
Testo completo"YouthMap 5020! What should youth-centred web maps look like?" In GI_Forum 2014 - Geospatial Innovation for Society. Vienna: Austrian Academy of Sciences Press, 2015. http://dx.doi.org/10.1553/giscience2014s285.
Testo completoJi, Cuiling, Yongkang Xiao e Tianhe Chi. "Research on the key technologies of mobile digital maps". In Geoinformatics 2006: GNSS and Integrated Geospatial Applications, a cura di Deren Li e Linyuan Xia. SPIE, 2006. http://dx.doi.org/10.1117/12.712931.
Testo completoLee, Saro. "Integration of mineral potential maps from various geospatial models". In the 2nd International Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1999320.1999373.
Testo completoZhang, Jingyuan, e Hao Shi. "Geospatial Visualization using Google Maps: A Case Study onConference Presenters". In Second International Multi-Symposiums on Computer and Computational Sciences (IMSCCS 2007). IEEE, 2007. http://dx.doi.org/10.1109/imsccs.2007.4392646.
Testo completoZhang, Jingyuan, e Hao Shi. "Geospatial visualization using google maps: a case study on conference presenters". In Second International Multi-Symposiums on Computer and Computational Sciences (IMSCCS 2007). IEEE, 2007. http://dx.doi.org/10.1109/imsccs.2007.9.
Testo completoJohnson-Roberson, Matthew, Mitch Bryson, Bertrand Douillard, Oscar Pizarro e Stefan B. Williams. "Out-of-Core Efficient Blending for Underwater Georeferenced Textured 3D Maps". In 2013 4th International Conference on Computing for Geospatial Research & Application (COM.Geo). IEEE, 2013. http://dx.doi.org/10.1109/comgeo.2013.3.
Testo completoGuo, Tao, Kaiyu Feng, Gao Cong e Zhifeng Bao. "Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration". In SIGMOD/PODS '18: International Conference on Management of Data. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3183713.3183738.
Testo completoBoulmay, B., Y. Gubanov e D. Tishechkin. "Visualize OSDU™ Data with Geospatial Consumption Zone and No Code Maps". In Third EAGE Digitalization Conference and Exhibition. European Association of Geoscientists & Engineers, 2023. http://dx.doi.org/10.3997/2214-4609.202332033.
Testo completoBakula, Krzysztof. "THE EFFECTIVE APPLICATION OF GEOSPATIAL DATA IN FLOOD HAZARD AND RISK MAPS CREATION". In 13th SGEM GeoConference on WATER RESOURCES. FOREST, MARINE AND OCEAN ECOSYSTEMS. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/bc3/s12.048.
Testo completoRapporti di organizzazioni sul tema "Geospatial maps"
Giles Álvarez, Laura, Juan Carlos Vargas-Moreno e Leonardo Pacheco Tenório Cavalcanti. Maps for Gaps: A Geospatial Approach to Estimating Development Gaps in Haiti. Inter-American Development Bank, dicembre 2021. http://dx.doi.org/10.18235/0003811.
Testo completoLawley, C. J. M., P. Giddy, L. Katz, N. Chu, A. Francis, J. Carvajal, M. Pinheiro et al. Canada geological map compilation. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/pf995j5tgu.
Testo completoLawley, C. J. M., P. Giddy, L. Katz, N. Chu, A. Francis, J. Carvajal, M. Pinheiro et al. Canada geological map compilation. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332596.
Testo completoCook, Samantha, Matthew Bigl, Sandra LeGrand, Nicholas Webb, Gayle Tyree e Ronald Treminio. Landform identification in the Chihuahuan Desert for dust source characterization applications : developing a landform reference data set. Engineer Research and Development Center (U.S.), ottobre 2022. http://dx.doi.org/10.21079/11681/45644.
Testo completoBaldos, Uris Lantz. Development of GTAP 9 Land Use and Land Cover Data Base for years 2004, 2007 and 2011. GTAP Research Memoranda, agosto 2017. http://dx.doi.org/10.21642/gtap.rm30.
Testo completoZandiatashbar, Ahoura, Jochen Albrecht e Hilary Nixon. A Bike System for All in Silicon Valley: Equity Assessment of Bike Infrastructure in San José, CA. Mineta Transportation Institute, ottobre 2023. http://dx.doi.org/10.31979/mti.2023.2162.
Testo completoMbani, Benson, Timm Schoening e Jens Greinert. Automated and Integrated Seafloor Classification Workflow (AI-SCW). GEOMAR, maggio 2023. http://dx.doi.org/10.3289/sw_2_2023.
Testo completoEvans, Julie, Kendra Sikes e Jamie Ratchford. Vegetation classification at Lake Mead National Recreation Area, Mojave National Preserve, Castle Mountains National Monument, and Death Valley National Park: Final report (Revised with Cost Estimate). National Park Service, ottobre 2020. http://dx.doi.org/10.36967/nrr-2279201.
Testo completoRussell, David P., Todd Krokowski e Chris Lawrence. Map Based Interface for Geospatial Product Library (MAP-GPL). Fort Belvoir, VA: Defense Technical Information Center, settembre 2005. http://dx.doi.org/10.21236/ada439954.
Testo completoBaldos, Uris Lantz, e Erwin Corong. Development of GTAP 10 Land Use and Land Cover Data Base for years 2004, 2007, 2011 and 2014. GTAP Research Memoranda, novembre 2020. http://dx.doi.org/10.21642/gtap.rm36.
Testo completo