Academic literature on the topic 'Geographic divisions'
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Journal articles on the topic "Geographic divisions"
Sayadyan, Hamik, and Ashot Gevorgyan. "A geographic and urban planning view of military administrative divisions." Multidisciplinary Reviews 6, no. 3 (August 15, 2023): 2023022. http://dx.doi.org/10.31893/multirev.2023022.
Full textLawrence, W. Svenson, G. Howard Platt, and E. Woodhead Sheena. "Geographic Variations in the Prevalence Rates of Parkinson’s Disease in Alberta." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 20, no. 4 (November 1993): 307–11. http://dx.doi.org/10.1017/s0317167100048228.
Full textWang, Shu, Xueying Zhang, Peng Ye, Mi Du, Yanxu Lu, and Haonan Xue. "Geographic Knowledge Graph (GeoKG): A Formalized Geographic Knowledge Representation." ISPRS International Journal of Geo-Information 8, no. 4 (April 8, 2019): 184. http://dx.doi.org/10.3390/ijgi8040184.
Full textPathak, J. "Effects of geography on risk for suicidal ideation and suicide attempts among commercially insured children and youth in the US." European Psychiatry 66, S1 (March 2023): S97—S98. http://dx.doi.org/10.1192/j.eurpsy.2023.281.
Full textMadudova, Emilia, Tatiana Čorejova, and Marek Valica. "Economic Sustainability in a Wider Context: Case Study of Considerable ICT Sector Sub-Divisions." Sustainability 10, no. 7 (July 18, 2018): 2511. http://dx.doi.org/10.3390/su10072511.
Full textBoyle, Bradley L., Brian S. Maitner, George G. C. Barbosa, Rohith K. Sajja, Xiao Feng, Cory Merow, Erica A. Newman, Daniel S. Park, Patrick R. Roehrdanz, and Brian J. Enquist. "Geographic name resolution service: A tool for the standardization and indexing of world political division names, with applications to species distribution modeling." PLOS ONE 17, no. 11 (November 14, 2022): e0268162. http://dx.doi.org/10.1371/journal.pone.0268162.
Full textCox, Ryan M., Andrew D. Sobel, Alison Biercevicz, Craig P. Eberson, and Mary K. Mulcahey. "Geographic Trends in the Orthopedic Surgery Residency Match." Journal of Graduate Medical Education 10, no. 4 (August 1, 2018): 423–28. http://dx.doi.org/10.4300/jgme-d-17-00633.1.
Full textKojanić, Ognjen. "Theory from the Peripheries." Anthropological Journal of European Cultures 29, no. 2 (September 1, 2020): 49–66. http://dx.doi.org/10.3167/ajec.2020.290204.
Full textWilk, Piotr, Shehzad Ali, Kelly K. Anderson, Andrew F. Clark, Martin Cooke, Stephanie J. Frisbee, Jason Gilliland, et al. "Geographic variation in preventable hospitalisations across Canada: a cross-sectional study." BMJ Open 10, no. 5 (May 2020): e037195. http://dx.doi.org/10.1136/bmjopen-2020-037195.
Full textHalás, Marián, and Pavel Klapka. "Regional division of Czechia on the basis of spatial interaction modelling." Geografie 115, no. 2 (2010): 144–60. http://dx.doi.org/10.37040/geografie2010115020144.
Full textDissertations / Theses on the topic "Geographic divisions"
Bernard, Camille. "Immersing evolving geographic divisions in the semantic Web." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAM048.
Full textNowadays, the volume of data coming from the public sector is growing rapidly on the Open Data Web. Most of data come from governmental agencies such as Statistical and Mapping Agencies. Together, these public institutions publish geo-coded statistics that are of utmost importance for policy-makers to conduct various analyses upon their jurisdiction, in time and space. However, through times, all over the world, the subdivisions of such ju- risdictions (portions of space on Earth) delimited by or, under the control of human groups (e.g., administrative or electoral areas) are subject to change: their names, belonging or boundaries change for political or administrative reasons. Likewise, the Territorial Statistical Nomenclatures (TSNs) that are sets of artifact areas (although they usually correspond to political or administrative structures) built by Statistical Agencies to observe a territory at several levels (e.g., regions, districts, sub-districts) also change over time. Changes in TSNs are an obstacle to maintain the comparability of socio-economic data over time, unless past data are recalculated according to present geographic areas, a complicated process that, in the end, hide the territorial changes. Then, territorial changes lead to breaks in the statistical series, and are sources of misinterpretations of statistics, or statistical bias when not properly documented. Therefore, solutions for representing different versions of TSNs, and their evolution on the Open Data Web are to be proposed in order to enhance the understanding of territorial dynamics.In this thesis, we present the Theseus Framework with reference to philosophical issue raised by the Ship of Theseus that, according to legend, was rebuilt entirely over the years, every plank of the ship being replaced one by one. This software framework adopts Semantic Web technologies and Linked Open Data (LOD) representation for the description of the TSNs’ areas, and of their changes: this guaranties the syntactic and, moreover, semantic interoperability between systems exchanging TSN information. Theseus is composed of a set of modules to handle the whole TSN data life cycle on the LOD Web: from the modeling of geographic areas and of their changes, to the exploitation of these descriptions on the LOD Web. All the software modules rely on two ontologies, TSN Ontology and TSN-Change Ontology, we have designed for an unambiguous description of the areas in time and space, and for the description of their changes. In order to automate the detection of such changes in TSN geospatial files, Theseus embeds an implementation of the TSN Semantic Matching Algorithm that computes LOD semantic graphs describing all the TSN elements and their evolution, based on the vocabulary of the two ontologies.This framework is intended first for the Statistical Agencies, since it considerably helps in complying with Open Data directives, by automating the publication of Open Data representation of their geographic areas that change over time. Second, the created LOD graphs enhance the understanding of territorial dynamics over time, providing policy-makers, researchers, general public with semantic descriptions of territorial changes to conduct various analyses upon their jurisdiction, in time and space. The applicability and genericity of our approach is illustrated by three tests of Theseus, each of them being led on three official TSNs: The European Nomenclature of Territorial Units for Statistics (NUTS) (versions 1999, 2003, 2006, and 2010) from the European Eurostat Statistical Institute; The Switzerland Administrative Units (SAU), from The Swiss Federal Statistical Office, that describes the cantons, districts and municipalities of Switzerland in 2017 and 2018; The Australian Statistical Geography Standard (ASGS), built by the Australian Bureau of Statistics, composed of seven nested divisions of the Australian territory, in versions 2011 and 2016
Guler, Muhammet Ali. "Detection Of Earthquake Damaged Buildings From Post-event Photographs Using Perceptual Grouping." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/3/12604982/index.pdf.
Full textAvcioglu, Emre. "Hydrocarbon Microseepage Mapping Via Remote Sensing For Gemrik Anticline, Bozova Oil Field, Adiyaman, Turkey." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612639/index.pdf.
Full textTrieu, Thanh Ngoan. "Open data and environment simulation : environmental and social simulation on distributed process systems based on irregular cell space." Electronic Thesis or Diss., Brest, 2024. http://www.theses.fr/2024BRES0047.
Full textThe combination of Cellular automata (CA) and distributed systems provide a simple way to model environmental and social issues by dividing the relevant areas into discrete spatial segments for parallel computation. The state evolution of each segment is divided into discrete time steps. Geographic divisions as irregular cell space give a chance to take advantage of Open Data in feeding the simulation systems. Data are analyzed to deduce the transition rules bringing distributed influences in a neighborhood. A case study of epidemic propagation modeling based on geographic divisions is presented. Given an assumption that the epidemic is spreading to people living in the neighborhood, a simulation system is generated based on adjacent neighbors with initial conditions collected from the government open data portal. A hybrid approach is introduced with the cooperation between regular tiles and irregular cellspaces in modeling shore activities. Environmental simulation is needed to represent ground and sea characteristics modeling spreading occurring on both spaces. These characteristics are very different due to soil capability and reaction, and sea behavior, in particular currents and tides. The problem of green tides is modeled when nutrients arepresented in high concentrations and entrapped by tidal currents
Shannon, Stacey. "Portraying the human side of Middletown and its geographic class division." Virtual Press, 2002. http://liblink.bsu.edu/uhtbin/catkey/1246471.
Full textDepartment of Journalism
Toole, Jameson Lawrence. "The diffusion of innovations in the presence of geography and media." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/78504.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 101-105).
Increasingly, the world we live in is digital, mobile, and online. As a consequence, many of your seemingly mundane actions are recorded, archived, and for the first time widely accessible to both the generators and curators of this information. From this fire hose of digital breadcrumbs, we can learn an enormous amount about ourselves as individuals and societies. Simple questions such as where we go, who we are meeting, and how we interact when we get there can be explored with incredibly high resolution and richness. Through new emiprical and analytic tools, we can leverage information generated from rapidly expanding online social networks, revealing the beautiful and often surprising complexity of everyday human behavior. We are able to harness data from millions of cell phone users to better understand how people move through cities, use roads, and interact with their neighbors. This thesis deals with quantifying, analyzing, and ultimately modeling sociotechnical systems. More specifically, it focuses on modeling the diffusion of innovations in time and space. While there has been much work examining the affects of social network structure on innovation adoption, models to date have lacked important features such as meta-populations reflecting real geography or influence from mass media forces. This thesis shows that these are features crucial to producing more accurate predictions of a social contagion and technology adoption at the city level. Using data from the adoption of the popular micro-blogging platform, Twitter, a model of adoption on a network is presented. The model places friendships in real geographic space and exposes individuals to mass media influence. Results show that homophily both amongst individuals with similar propensities to adopt a technology and geographic location is critical to reproduce features of real spatiotemporal adoption. Furthermore, estimates suggest that mass media was responsible for increasing Twitter's user base two to four fold. To reflect this strength, traditional contagion models are extended to include an endogenous mass media agent that responds to those adopting an innovation as well as influencing agents to adopt themselves. The final chapter of this thesis addresses the future. The ubiquity of digital devices like mobile phones and tablets is opening rich new avenues of research. The massive amounts of data generated and stored by these devices can be used to gain a better understanding of the complex socio-technical systems they sense. The same tools, techniques, and analogies utilized in the first three chapters of this thesis can now literally be taken to the streets. With mobile phones that record when and where activities take place, a new window has been opened on urban systems. Future work will explore how people use cities dynamically to improve transportations systems and inform urban planners. New measurements will help understand what cities do well, when they fail, and why. At the core of this new domain, is an interdisciplinary approach to complex socio-technical systems that combines many fields and methods. This view forms a more holistic view of problems and potential solutions. The thesis presented stands as an example of data, theory, and simulation for diverse areas can be combined to gain novel insights into human behavior.
by Jameson Lawrence Toole.
S.M.
Bahri, Rupa. "Enhancing productivity through effective collaborations : the barriers and enablers of collaboration within geographic bioclusters." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/39569.
Full textIncludes bibliographical references (leaves 136-138).
Increasing competition and specialization of firms in the life sciences industry has led to recognition of the need for collaboration. Bioclusters, the co-location of life sciences entities in a specific geographic area, have therefore emerged as a global trend. While it is assumed that such clusters allow stakeholders to realize synergies through participation and presence in the local area, the collaborative behavior within these clusters has yet to be explored. The goal of this study was to characterize the barriers and enablers of effective collaboration within bioclusters, and amongst their key stakeholder groups. This study directly compared the bioclusters of San Diego and Singapore to gain an understanding of their relative collaborative environments. San Diego, with cluster longevity of over 40 years, provided an example of organic growth, given its roots in entrepreneurial activities. The Singapore cluster, still in an embryonic state, has a history of organized growth due to the leadership, support, and funding of the Singaporean government. The study of clusters that differ in history of formation and longevity of presence provided the breadth of information needed for an effective comparison of their collaborative environments and approach to collaborative endeavors.
(cont.) Key stakeholder groups, namely academia, industry, finance, and government, were identified and interviews within each cluster were targeted accordingly. Eighteen interviews were conducted in San Diego and sixteen in Singapore. Through literature review, design of a detailed questionnaire, completion of 34 interviews, and analysis of the resulting data, an empirical assessment of the environment for collaboration within each biocluster was performed. Use of two scoring models provided an objective relative comparison of the clusters, serving as tools to view aggregated interview results. The first model measured the environment for and level of local collaboration and resulted in a Collaboration Score. The second model compared the process of engagement in collaborative endeavors, and resulted in a Formality of Approach Score. The scoring models were also used to compare the collaborative behavior of key stakeholder groups. Results from relative scoring models indicated a higher Collaboration Score for Singapore as compared to San Diego (p-value=0.0421), and a higher Formality of Approach Score for San Diego, trending toward significance. Aggregate analysis of key stakeholder groups found finance as the most collaborative, with a higher Collaboration Score when compared to industry, the least collaborative group (p-value=0.0189).
(cont.) A higher Formality of Approach Score was also seen for finance when compared to academia (p-value=0.0479). Other notable results include a greater degree of local competition within San Diego (p-value=0.0266) and a particularly low percentage of local industry collaborations in both bioclusters, when compared to academia (p-value=0.0002). The enablers of collaboration in the San Diego biocluster were identified as the entrepreneurial culture and the existence of top research institutes, and barriers were found to be the high level of competition amongst cluster members and the lack of local venture capital presence. The enablers in the Singapore biocluster were identified as the physical co-location of public and private entities in the Biopolis and the leadership and financial support provided by the Singaporean government, and barriers were the culture of risk aversion that exists in the cluster and the relatively few entrepreneurs, who often serve as a backbone for the creation of informal networks. A model for the development of a biocluster was also identified through a comparison of the cluster formation history of San Diego and Singapore. This model needs to be refined and further tested for general applicability, but does suggest a promising start.
(cont.) Collaborations are important for the continued cycle of innovation in the field of life sciences. Bioclusters provide a forum for these collaborations to occur. Promoting the enablers and removing the barriers increases the effectiveness of collaborations, enhancing the success of a biocluster and its member firms.
by Rupa Bahri.
S.M.
Boyce, Jeremy Dewayne Tomasini Nathan. "An analysis of the NCAA Division III football playoff system and its use of the geographic proximity rule." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2007. http://dc.lib.unc.edu/u?/etd,1042.
Full textTitle from electronic title page (viewed Mar. 27, 2008). "... in partial fulfillment of the requirements for the degree of Master of Arts in the Department of Exercise and Sport Science Sport Administration." Discipline: Exercise and Sports Science; Department/School: Exercise and Sport Science.
Stainer, Jonathan. "Nationalism, sectarianism, division and hybridity : representations of place in Belfast fiction of the 1990s." Thesis, University of Ulster, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274091.
Full textLiu, Xintao. "The Principle of Scaling of Geographic Space and its Application in Urban Studies." Doctoral thesis, KTH, Geodesi och geoinformatik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-90832.
Full textQC 20120301
Hägerstrand project entitled “GIS-based mobility information for sustainable urban planning and design”
Books on the topic "Geographic divisions"
Canada. Ministry of Supply and Services., ed. Census Canada 1986: Maps : census divisions and subdivisions : geographic reference. Ottawa: Minister of Supply and Services, 1987.
Find full textCanada, Statistics. Census divisions and subdivisions, Ontario: Geographic reference products - enumeration area reference lists. S.l: s.n, 1987.
Find full textCanada, Statistics. Census divisions and subdivisions, Quebec: Geographic reference products - enumeration area reference lists. S.l: s.n, 1987.
Find full textCanada, Statistics. Census divisions and subdivisions, Atlantic Provinces: Geographic reference products - enumeration area reference lists. S.l: s.n, 1987.
Find full textCanada, Statistics. Census divisions and subdivisions, Western Provinces and the Territories: Geographic reference products - enumeration area reference lists. S.l: s.n, 1987.
Find full textOffice, General Accounting. Health care alliances: Issues relating to geographic boundaries : report to the Chairman, Committee on Finance, U.S. Senate. Washington, D.C: The Office, 1994.
Find full textEducation, Ontario Ministry of. Geography: Intermediate and senior divisions, 1988 - part c : the intermediate division programme. S.l: s.n, 1988.
Find full textSon, Sŏng-u. Hanʾguk chimyŏng sajŏn =: Korean geographical dictionary. Sŏul Tʻŭkpyŏlsi: Kyŏngin Munhwasa, 1989.
Find full textEducation, Ontario Ministry of. Geography: Intermediate and senior divisions - Part d : the senior division program, revised courses. S.l: s.n, 1988.
Find full textEducation, Ontario Ministry of. Geography: Part E : the senior division program, new courses : intermediate and senior divisions, 1988. [Toronto]: Ministry of Education, 1988.
Find full textBook chapters on the topic "Geographic divisions"
Bernard, C., C. Plumejeaud-Perreau, M. Villanova-Oliver, J. Gensel, and H. Dao. "Semantic Graphs to Reflect the Evolution of Geographic Divisions." In Handbook of Big Geospatial Data, 135–59. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55462-0_6.
Full textKong, Woo-Seok, and David Watts. "Biogeographic divisions." In The Plant Geography of Korea, 11–45. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1624-4_2.
Full textMikhaylov, N. "A New Division." In Soviet Geography, 9–17. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003391326-2.
Full textMassey, Doreen. "Class, Politics and the Geography of Employment." In Spatial Divisions of Labour, 226–86. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-24059-3_6.
Full textMassey, Doreen. "Class, Politics and the Geography of Employment." In Spatial Divisions of Labor, 226–86. 2nd ed. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003572619-6.
Full textAlder, John. "The Geographical Division of Powers." In Constitutional and Administrative Law, 112–38. London: Macmillan Education UK, 1999. http://dx.doi.org/10.1007/978-1-349-15077-9_6.
Full textMassey, Doreen, and Richard Meegan. "Spatial Divisions of Labour in Britain." In Horizons in Human Geography, 244–57. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-19839-9_13.
Full textKrzywicka-Blum, Ewa. "Synthetic Structural Characteristics Determining the Qualificational Divisions of Areas." In Springer Geography, 183–207. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47358-1_5.
Full textChen-Florea, Alexander L. Q. "Spatial Division(s) of Labor." In The Encyclopedia of Human Geography, 1–6. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-25900-5_98-1.
Full textKaczmarek, Tomasz. "Territorial Division: Administrative Reforms and a Look to the Future." In Economic Geography, 103–22. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06108-0_5.
Full textConference papers on the topic "Geographic divisions"
Liu, Shuhui, Yiming Liu, Kangle Wang, Yiwei Gong, Wenhua Zhao, and Yaqi Sun. "Spatio-temporal clustering model based on angular depth for regional division of PM2.5 in China." In Second International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), edited by Bin Zou and Yaoping Cui, 143. SPIE, 2024. http://dx.doi.org/10.1117/12.3049049.
Full textBucur, Stefanlucian, and Florica Moldoveanu. "GEOGRAPHIC VISUALIZATIONS OF THE E-LEARNING USAGE IN ROMANIA." In eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-088.
Full textPankov, Sergey V. "ANALYSIS OF THE DYNAMICS OF THE ADMINISTRATIVETERRITORIAL DIVISION OF THE TAMBOV REGION." In Treshnikov readings – 2022 Modern geographical global picture and technology of geographic education. Ulyanovsk State Pedagogical University named after I. N. Ulyanov, 2022. http://dx.doi.org/10.33065/978-5-907216-88-4-2022-210-212.
Full textSevostyanova, Lidiya I., and Andrey V. Rogotnev. "USE OF THE NATURAL AND ECONOMIC APPROACH FOR THE EVALUATION OF THE NATURAL AND RESOURCE POTENTIAL OF THE MEDVEDEVSKY DISTRICT OF THE REPUBLIC OF MARI EL." 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/10.33065/978-5-907216-08-2-2021-65-67.
Full textLevykin, Sergey V., and Grigoriy V. Kazachkov. "STEPPES FOR RUSSIAN NATIONAL LOW-CARBON DEVELOPMENT STRATEGY." In Treshnikov readings – 2022 Modern geographical global picture and technology of geographic education. Ulyanovsk State Pedagogical University named after I. N. Ulyanov, 2022. http://dx.doi.org/10.33065/978-5-907216-88-4-2022-48-51.
Full textBarcelos Jorge da Silveira, Victoria, Diego Moreira Souza, and Fabrício Peixoto Alvarenga. "Urban Landscape in the Historic Center of Campos dos Goytacazes:the effect of oil royalties on the use of public and private spaces between 1996 and 2020." In 7th International Congress on Scientific Knowledge. Perspectivas Online: Humanas e Sociais Aplicadas, 2021. http://dx.doi.org/10.25242/8876113220212431.
Full textŚwiętek, Agnieszka, and Wiktor Osuch. "Regional Geography Education in Poland." In 27th edition of the Central European Conference with subtitle (Teaching) of regional geography. Brno: Masaryk University Press, 2020. http://dx.doi.org/10.5817/cz.muni.p210-9694-2020-14.
Full textMoore, Daniel F., Curtis Thompson, and R. Joseph Bergquist. "Geographic Information System (GIS) Decision Modeling for Water Pipeline Planning." In Pipeline Division Specialty Conference 2002. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40641(2002)46.
Full textRappel-Kroyzer, Or. "The UDC California Division Members Database." In SIGSPATIAL '23: The 31st ACM International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3615887.3627753.
Full textSinger, Guy, and Brian Wopershall. "Combining a Geographic Information System and a Hydraulic Model in the Cleveland Water Distribution System." In Pipeline Division Specialty Conference 2002. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40641(2002)2.
Full textReports on the topic "Geographic divisions"
Maldonado, Leonardo, and Osmel Manzano. Measuring Regional Inequality in the Andean Countries: A Multiple-Stage Nested Theil Decomposition Using Night Light Emissions. Inter-American Development Bank, May 2024. http://dx.doi.org/10.18235/0012952.
Full textWillis, Craig. ECMI Minorities Blog. Ethnic Identity and Football in Mostar – A Clear Divide along the Old Front Line. European Centre for Minority Issues, December 2023. http://dx.doi.org/10.53779/sklp2233.
Full textHenderson, Tim, Mincent Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: Chihuahuan Desert Inventory & Monitoring Network. National Park Service, April 2021. http://dx.doi.org/10.36967/nrr-2285306.
Full textHenderson, Tim, Vincent Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: Northern Colorado Plateau Inventory & Monitoring Network. National Park Service, April 2021. http://dx.doi.org/10.36967/nrr-2285337.
Full textHenderson, Tim, Vincent Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: Klamath Inventory & Monitoring Network. National Park Service, July 2021. http://dx.doi.org/10.36967/nrr-2286915.
Full textHenderson, Tim, Vincent Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: Mojave Desert Inventory & Monitoring Network. National Park Service, December 2021. http://dx.doi.org/10.36967/nrr-2289952.
Full textHenderson, Tim, Vincet Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: North Coast and Cascades Inventory & Monitoring Network. National Park Service, March 2022. http://dx.doi.org/10.36967/nrr-2293013.
Full textHenderson, Tim, Vincent Santucci, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: Central Alaska Inventory & Monitoring Network. National Park Service, May 2022. http://dx.doi.org/10.36967/nrr-2293381.
Full textHenderson, Tim, Vincent Santucciq, Tim Connors, and Justin Tweet. National Park Service geologic type section inventory: San Francisco Bay Area Inventory & Monitoring Network. National Park Service, May 2022. http://dx.doi.org/10.36967/nrr-2293533.
Full textHackbarth, Carolyn, and Rebeca Weissinger. Water quality in the Northern Colorado Plateau Network: Water years 2016–2018 (revised with cost estimate). National Park Service, November 2023. http://dx.doi.org/10.36967/nrr-2279508.
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