Relevant bibliographies by topics / Map scale

Contents

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

Academic literature on the topic 'Map scale'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Map scale"

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Ivanov, Sabin. "DETERMINING THE SCALE OF A TOPOGRAPHIC MAP." Journal Scientific and Applied Research 13, no. 1 (2018): 41–45. http://dx.doi.org/10.46687/jsar.v13i1.237.

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Baruque, Bruno, and Emilio Corchado. "WeVoS scale invariant map." Information Sciences 280 (October 2014): 307–21. http://dx.doi.org/10.1016/j.ins.2014.05.005.

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Quintián, Héctor, and Emilio Corchado. "Beta Scale Invariant Map." Engineering Applications of Artificial Intelligence 59 (March 2017): 218–35. http://dx.doi.org/10.1016/j.engappai.2017.01.002.

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Zhu, Wei, Qingsheng Guo, Nai Yang, Ying Tong, and Chuanbang Zheng. "An Improved Generative Adversarial Network for Generating Multi-Scale Electronic Map Tiles Considering Cartographic Requirements." ISPRS International Journal of Geo-Information 13, no. 11 (2024): 398. http://dx.doi.org/10.3390/ijgi13110398.

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Multi-scale electronic map tiles are important basic geographic information data, and an approach based on deep learning is being used to generate multi-scale map tiles. Although generative adversarial networks (GANs) have demonstrated great potential in single-scale electronic map tile generation, further research concerning multi-scale electronic map tile generation is needed to meet cartographic requirements. We designed a multi-scale electronic map tile generative adversarial network (MsM-GAN), which consisted of several GANs and could generate map tiles at different map scales sequentiall
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Fyfe, Colin. "A scale-invariant feature map." Network: Computation in Neural Systems 7, no. 2 (1996): 269–75. http://dx.doi.org/10.1088/0954-898x/7/2/006.

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Fyfe, Colin. "A scale-invariant feature map." Network: Computation in Neural Systems 7, no. 2 (1996): 269–75. http://dx.doi.org/10.1088/0954-898x_7_2_006.

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Cheng, Y., Y. Yin, C. M. Li, et al. "A MODEL STUDY OF SMALL-SCALE WORLD MAP GENERALIZATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 223–28. http://dx.doi.org/10.5194/isprs-archives-xlii-3-223-2018.

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With the globalization and rapid development every filed is taking an increasing interest in physical geography and human economics. There is a surging demand for small scale world map in large formats all over the world. Further study of automated mapping technology, especially the realization of small scale production on a large scale global map, is the key of the cartographic field need to solve. In light of this, this paper adopts the improved model (with the map and data separated) in the field of the mapmaking generalization, which can separate geographic data from mapping data from maps
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Fitri, M. S. N., O. Marena, O. A. Hisam, M. Y. M. Hafiz, and A. K. N. Izzati. "Suitability of Open Street Map (OSM) for 1:50,000 Topographic Map." IOP Conference Series: Earth and Environmental Science 1051, no. 1 (2022): 012012. http://dx.doi.org/10.1088/1755-1315/1051/1/012012.

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Abstract Open-source data is open for anyone and everyone for access, modification, reuse, and sharing for particular application. Open-source data is compiled from various sources using public user collaboration. Open street map is one of open-source vector provider. The suitability study of the use of open-source data for the production of topographic maps of various scales is important as a new approach. The importance of the feasibility study of the use of open-source data can help improve the efficiency of the production of mapping products. Many methods of producing topographic maps of v
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Sissakian, Varoujan K., and Saffa F. Fouad. "Geological map of Sulaimaniyah quadrangle, at scale of 1: 250 000." Journal of Zankoy Sulaimani - Part A GeoKurdistan II, Special issue (2016): 151–61. http://dx.doi.org/10.17656/jzs.10477.

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Schobbenhaus, Carlos. "The GIS underpinned Geological Map of Brazil, 1:1 million scale." Zeitschrift der Deutschen Gesellschaft für Geowissenschaften 158, no. 1 (2007): 3–7. http://dx.doi.org/10.1127/1860-1804/2007/0158-0003.

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Dissertations / Theses on the topic "Map scale"

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Eldridge, Simon Michael, and n/a. "The impact of the scale of mapping on soil map quality." University of Canberra. Resource, Environmental & Heritage Sciences, 1997. http://erl.canberra.edu.au./public/adt-AUC20060707.102807.

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It is generally assumed that increased map precision (ie map unit homogeneity) and map purity (map unit accuracy) should result from increasing the scale of mapping of the soil resource, since it should enable a more intricate breakdown of the landscape into landform facet based units. This study compared the predictive success of a 1:1 OK scale soil association map with the 1:25K and 1:1OOK scale soil landscape maps within the Birrigai area of the Paddy's river catchment, south west of Canberra, A.C.T. The 1:25K and the 1:100K scale soil landscape maps were also evaluated in a second larger e
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Jones, Eagle Sunrise. "Large scale visual navigation and community map building." Diss., Restricted to subscribing institutions, 2009. http://proquest.umi.com/pqdweb?did=1905636871&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Miller, Scott N., D. Phillip Guertin, and Lainie R. Levick. "Influences of Map Scale on Drainage Network Representation." Arizona-Nevada Academy of Science, 1999. http://hdl.handle.net/10150/296536.

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Li, Fang. "An automated generalized system for large scale topographic maps." Thesis, University of Reading, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387080.

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Forrest, David. "The application of expert systems to small scale map design." Thesis, University of Glasgow, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284711.

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Al-Bairmani, Sukaina. "Synthetic turbulence based on the multi-scale turnover Lagrangian map." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/19080/.

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Synthetic turbulence refers to stochastic fields having characteristics of real hydro- dynamic turbulent flows, which has been useful in the modelling and simulation of turbulence, and for further understanding fundamental properties of turbulent motion. Synthetic turbulence aims to construct the field variables (such as velocity distributions) by simpler processes to reproduce characteristic features of turbulent fluctuations with a reduced computational cost in comparison with a formal numerical solution of the Navier-Stokes equations. A new approach of synthetic turbulence has been recently
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Anand, Suchith. "Automatic derivation of schematic maps from large scale digital geographic datasets for mobile GIS." Thesis, University of South Wales, 2006. https://pure.southwales.ac.uk/en/studentthesis/automatic-derivation-of-schematic-maps-from-large-scale-digital-geographic-datasets-for-mobile-gis(653b12bb-7e0c-41a9-aada-e8cf361064a3).html.

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"Mapping is a way of visualizing parts of the world and maps are largely diagrammatic and two dimensional. There is usually a one-to-one correspondence between places in the world and places on the map, but while there are limitless aspects to the world, the cartographer can only select a few to map" Daniel Dorling, 1996 Map generalization is the process by which small scale maps are derived from large scale maps. This requires the application of operations such as simplification, selection, displacement and amalgamation to map features subsequent to scale reduction. The work is concerned with
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Gong, Nan. "Using Map-Reduce for Large Scale Analysis of Graph-Based Data." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-102822.

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As social networks have gained in popularity, maintaining and processing the social network graph information using graph algorithms has become an essential source for discovering potential features of the graph. The escalating size of the social networks has made it impossible to process the huge graphs on a single ma chine in a “real-time” level of execution. This thesis is looking into representing and distributing graph-based algorithms using Map-Reduce model. Graph-based algorithms are discussed in the beginning. Then, several distributed graph computing infrastructures are reviewed, foll
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Paterson, Stacey. "Soil Spatial Scaling: Modelling variability of soil properties across scales using legacy data." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/19895.

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Understanding how soil variability changes with spatial scale is critical to our ability to understand and model soil processes at scales relevant to decision makers. This thesis uses legacy data to address the ongoing challenge of understanding soil spatial variability in a number of complementary ways. We use a range of information: precision agriculture studies; compiled point datasets; and remotely observed raster datasets. We use classical geostatistics, but introduce a new framework for comparing variability of spatial properties across scales. My thesis considers soil spatial variabilit
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Hopfstock, Anja. "A User-Oriented Map Design in the SDI Environment: Using the Example of a European Reference Map at Medium Scale." Doctoral thesis, Verlag des Bundesamtes für Kartographie und Geodäsie, 2010. https://tud.qucosa.de/id/qucosa%3A25665.

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The ever increasing demand of our information society for reliable Geographic Information (GI) is the moving power for the development and maintenance of Spatial Data Infrastructures (SDI). Consequently, an SDI works to full benefit of its users if the SDI data collection is accessible and can be efficiently used by all users in spatial problem solving and decision-making. Current development and use of SDI focuses on handling geospatial data entirely by means of information technology. Thereby, low awareness seems to be paid to a user-friendly and understandable presentation of geospatial dat
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Books on the topic "Map scale"

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Quinlan, Julia J. Scale and distance in maps. PowerKids Press, 2012.

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Geographers' A to Z Map Company. London super scale street map. 6th ed. Geographers' A-Z Map Co., 1989.

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(Firm), Roger Lascalles, ed. Tuscany: Large scale regional map. R.Lascelles, 1993.

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Verkehrsverlag, Reise und, ed. Yugoslavia: Large scale national map. Roger Lascelles, 1986.

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Survey, United States Geological. Large-scale mapping guidelines. U.S. Dept. of the Interior, U.S. Geological Survey, 1986.

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Survey, United States Geological. Large-scale mapping guidelines. U.S. Dept. of the Interior, U.S. Geological Survey, 1986.

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United States Geological Survey. Large-scale mapping guidelines. U.S. Dept. of the Interior, U.S. Geological Survey, 1986.

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United States Geological Survey. Large-scale mapping guidelines. U.S. Dept. of the Interior, U.S. Geological Survey, 1986.

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Yan, Haowen, and Jonathan Li. Spatial Similarity Relations in Multi-scale Map Spaces. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09743-5.

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Mazzarella, Kerri. Map Scale. Crabtree Publishing Company, 2022.

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Book chapters on the topic "Map scale"

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Sakr, Sherif, and Anna Liu. "The Family of Map-Reduce." In Large-Scale Data Analytics. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-9242-9_1.

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Groshong, Richard H. "Elements of Map-Scale Structure." In 3-D Structural Geology. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03912-0_1.

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Groshong, Richard H. "Elements of Map-Scale Structure." In 3-D Structural Geology. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-31055-6_1.

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Guo, Wang, Xiaojun Cheng, and Chaode Yan. "Variable Scale Method and Map Loading Evaluation of Mobile Map." In Lecture Notes in Geoinformation and Cartography. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04028-8_21.

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Jánosi, Imre M. "Populational dynamics and coupled map lattices." In Scale Invariance, Interfaces, and Non-Equilibrium Dynamics. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-1421-7_8.

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Caselles, V., B. Coll, and J. M. Morel. "Scale space versus topographic map for natural images." In Scale-Space Theory in Computer Vision. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63167-4_38.

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Ferber, Michael P., and Randolph Haluza-DeLay. "Scale-Jumping and Climate Change in the Geography of Religion." In The Changing World Religion Map. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9376-6_10.

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Miyagi, Toyohiko, and Doan Huy Loi. "How to Detect the Previous Large-Scale Landslide: Source of Future Landslides by Interpretation of Ground Topography from Digital Maps." In Progress in Landslide Research and Technology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-72736-8_18.

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AbstractLarge-scale landslides often occur in the same place as previous landslides. Determining the location of potential future landslides is crucial and helpful for reducing landslide risk. In this paper, we compared the landslide topography distribution map and the 2011 landslide disasters in the Kii Peninsula to determine the overlap of new landslides in 2011 and past landslides. We found that over 60% of large-scale landslides took place in areas where previous landslides had been identified in the landslide topography distribution map. Following this finding, we created the landslide di
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Zhao, Shubin. "Multi-scale MAP Estimation of High-Resolution Images." In Advances in Image and Video Technology. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11949534_106.

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Sun, Di, Yangde Lin, Sheng Shen, Zhiliang Zeng, Shizhao Zhang, and Qihang Wang. "Arbitrary Scale Texture Synthesis with Feature Map Swapping." In Lecture Notes in Computer Science. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-5600-1_28.

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Conference papers on the topic "Map scale"

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Feng, Yixiao, Zhou Jiang, Yongliang Shi, et al. "Block-Map-Based Localization in Large-Scale Environment." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10610122.

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Xu, Hao, and Chenggang Guo. "MSF-UNet: Multi-Scale Fusion UNet for Guided Depth Map Super-Resolution." In 2024 International Conference on Virtual Reality and Visualization (ICVRV). IEEE, 2024. https://doi.org/10.1109/icvrv62410.2024.00025.

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Ramakrishnan, Raghu, and Team Members CISL. "Scale-out beyond map-reduce." In KDD' 13: The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2013. http://dx.doi.org/10.1145/2487575.2492151.

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Ramakrishnan, Raghu. "Scale-out Beyond Map-Reduce." In 2015 IEEE 22nd International Conference on High Performance Computing (HiPC). IEEE, 2015. http://dx.doi.org/10.1109/hipc.2015.59.

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Chernov, Alexey V. "SMALL-SCALE MAPPING OF FLOODPLAIN AND RIVERBED COMPLEXES." In Treshnikov readings – 2021 Modern geographical global picture and technology of geographic education. Ulyanovsk State Pedagogical University named after I. N. Ulyanov, 2021. http://dx.doi.org/10.33065/978-5-907216-08-2-2021-236-238.

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The article deals with the specifics of making small-scale maps of riverbeds and floodplains. Rivers are linear objects that do not form continuous contours. This makes it difficult to map them and makes it difficult to find new ways to map them. The article shows new ways of mapping rivers and their implementation in the preparation of maps of river channels and floodplains of General purpose, thematic channel maps and channel maps in Atlases.
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Isar, Dorina, Alexandru Isar, and Andre Quinquis. "Multi-scale MAP Denoising of SAR Images." In OCEANS 2006. IEEE, 2006. http://dx.doi.org/10.1109/oceans.2006.306985.

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Isar, A., D. Isar, S. Moga, J. M. Augustin, and X. Lurton. "Multi-scale MAP despeckling of sonar images." In Oceans 2005 - Europe. IEEE, 2005. http://dx.doi.org/10.1109/oceanse.2005.1513246.

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Fiedler, David, Michal Čáp, Jan Nykl, and Pavol Žilecký. "Map Matching Algorithm for Large-scale Datasets." In 14th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0010849100003116.

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Budrevicius, Julius Donatas, Lina Papšienė, and Giedrė Beconytė. "Automatic Generalization of Cartographic Data for Multi-scale Maps Representations." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.169.

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The multi-scale base map compiled from the official 1:10 000 framework data is served as the background in the national geoportal map browser. High expectations of the users of this map – both up-to-datedness and comfort of use – are pressing to search for more efficient methods to generate it preserving highest cartographic quality. There are two ways towards that: (a) automated generalization of the georeference base dataset into smaller scale datasets that are then used as sources for the multi-scale web map and (b) automated cartographic generalization of the single source dataset into mul
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Adhikarla, Vamsi Kiran, Pawel Wozniak, Attila Barsi, Dave Singhal, Peter Tamas Kovacs, and Tibor Balogh. "Freehand interaction with large-scale 3D map data." In 2014 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON 2014). IEEE, 2014. http://dx.doi.org/10.1109/3dtv.2014.6874711.

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Reports on the topic "Map scale"

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O'Neill, H. B., S. A. Wolfe, and C. Duchesne. Ground ice map of Canada. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330294.

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This Open File presents national-scale mapping of ground ice conditions in Canada. The mapping depicts a first-order estimate of the combined volumetric percentage of excess ice in the top 5 m of permafrost from segregated, wedge, and relict ice. The estimates for the three ice types are based on modelling by O'Neill et al. (2019) (https://doi.org/10.5194/tc-13-753-2019), and informed by available published values of ground ice content and expert knowledge. The mapping offers an improved depiction of ground ice in Canada at a broad scale, incorporating current knowledge on the associations bet
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Nelson, Mark D., Greg C. Liknes, and Brett J. Butler. Map of forest ownership in the conterminous United States. [Scale 1:7,500,000]. U.S. Department of Agriculture, Forest Service, Northern Research Station, 2010. http://dx.doi.org/10.2737/nrs-rmap-2.

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Lawley, C. J. M., P. Giddy, L. Katz, et al. Canada geological map compilation. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/pf995j5tgu.

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The Canada Geological Map Compilation (CGMC) is a database of previously published bedrock geological maps sourced from provincial, territorial, and other geological survey organizations. The geoscientific information included within these source geological maps was standardized, translated to English, and combined to provide complete coverage of Canada and support a range of down-stream machine learning applications. Detailed lithological, mineralogical, metamorphic, lithostratigraphic, and lithodemic information was not previously available as one national-scale product. The source map data
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Lawley, C. J. M., P. Giddy, L. Katz, et al. Canada geological map compilation. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332596.

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The Canada Geological Map Compilation (CGMC) is a database of previously published bedrock geological maps sourced from provincial, territorial, and other geological survey organizations. The geoscientific information included within these source geological maps was standardized, translated to English, and combined to provide complete coverage of Canada and support a range of down-stream machine learning applications. Detailed lithological, mineralogical, metamorphic, lithostratigraphic, and lithodemic information was not previously available as one national-scale product. The source map data
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Troost, K. G., and D. B. Booth. Cost of 1:12,000-scale geologic map; $500,000: cost of 3D data, priceless. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2006. http://dx.doi.org/10.4095/221901.

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Connell, Sean D. Geologic map of the Albuquerque - Rio Rancho metropolitan area and vicinity, Bernalillo and Sandoval counties, New Mexico. New Mexico Bureau of Geology and Mineral Resources, 2008. http://dx.doi.org/10.58799/gm-78.

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This is the most comprehensive compilation of the geology of the Albuquerque Basin to be printed in 30 years. The area covered by this new compilation, though not as large as the earlier map, is presented at a scale nearly four times the detail (1:50,000 scale compared to the earlier map's 1:190,000 scale). This new geologic map is a compilation of sixteen 7.5-min USGS quadrangle maps and encompasses an area from Tijeras Arroyo on the south to Santa Ana Mesa north of Santa Ana and San Felipe Pueblos, and from the crest of the Sandia Mountains westward across the Rio Grande and onto the Llano d
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Bryan, Elizabeth, Fitsum Hagos, Dawit Kelemework Mekonnen, Demie Abera Gemeda, and Sein Yimam. The diffusion of small-scale irrigation technologies in Ethiopia: Stakeholder analysis using Net-Map. International Food Policy Research Institute, 2020. http://dx.doi.org/10.2499/p15738coll2.133847.

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Lonn, Jeffrey D., and Yann G. Gavillot. Geologic map of the southern Bitterroot Fault, Bitterroot Valley, western Montana. Montana Bureau of Mines and Geology, 2022. http://dx.doi.org/10.59691/cbly9091.

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Gavillot, Y. G., S. D. Parker, and D. M. Pearson. Geologic map of the Beaverhead Rock SE 7.5' quadrangle, Madison County, Montana. Montana Bureau of Mines and Geology, 2024. https://doi.org/10.59691/akir4686.

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Harrison, Richard W., Richard P. Lozinsky, T. L. Eggleston, and W. C. McIntosh. Geologic map of the Truth or Consequences 30' x 60' minute quadrangle (1:100,000 scale). New Mexico Bureau of Geology and Mineral Resources, 1993. http://dx.doi.org/10.58799/ofr-390.

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