The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
A cost path and network analysis methodology to calculate distances along a complex river network in the Peruvian Amazon
Abstract
Distance is a key variable in explicating environmental, social, and economic conditions and in defining spatial and temporal patterns. Prior research has primarily focused on using simple to complex algorithms for calculating distances along road networks. In contrast, few algorithms are available for distance calculations along fluvial networks which are often more erratic, divergent and transient than road networks. Fluvial transportation is relied upon worldwide, particularly in developing regions, where communities use river networks for transportation, access to natural resources and for trade and commerce. This paper presents a methodology developed for mapping complex fluvial networks for travel distance analysis. The methodology was applied in four major river basins in western Amazonia over some 35,000 km of river length and incorporating 919 communities as origins/destinations. A cost path and network analysis methodology was created using vector and raster datasets in a Geographic Information System (GIS) to assess interactions among communities and the distances traveled by river to reach district capitals, major urban centres and marketplaces. An accuracy assessment using distance values calculated from a previous study using a different methodological approach in the region as well as Google Earth Pro, found a high degree of concordance for distance calculations. Our methodology creates a very flexible approach for complex river systems that can be use to calculate river distances in an adaptive and efficient manner and that can be use in other regions of the world where rural communities must rely on rivers for transportation.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Baltosser, W. H., & Zar, J. H. (1996) · Ecology · doi:10.2307/2265725 · Cited by 35,166
New Global Hydrography Derived from Spaceborne Elevation Data
Lehner, B., Verdin, K., & Jarvis, A. (2008) · Eos, Transactions American Geophysical Union · doi:10.1029/2008eo100001 · Cited by 2,411
River dynamics and the diversity of Amazon lowland forest
Salo, J. S., Kalliola, R., Häkkinen, I., Mäkinen, Y., Niemelä, P., Puhakka, M., & Coley, P. D. (1986) · Nature · doi:10.1038/322254a0 · Cited by 866
The “majority illusion” in social networks
Lerman, K., Yan, X., & Wu, X.-Z. (2016) · PLOS ONE · doi:10.1371/journal.pone.0147617 · Cited by 669
Apparicio, P., Abdelmajid, M., Riva, M., & Shearmur, R. (2008) · International Journal of Health Geographics · doi:10.1186/1476-072x-7-7 · Cited by 571
Geographic poverty traps? A micro model of consumption growth in rural China
Jalan, J., & Ravallion, M. D. (2002) · Journal of Applied Econometrics · doi:10.1002/jae.645 · Cited by 569
Globalization and Land-Use Transitions in Latin America
Grau, H. R., & Aide, T. M. (2008) · Ecology and Society · doi:10.5751/es-02559-130216 · Cited by 442
Yu, L., & Gong, P. (2011) · International Journal of Remote Sensing · doi:10.1080/01431161.2011.636081 · Cited by 380
Land-Use Allocation Protects the Peruvian Amazon
Oliveira, P. J. C., Asner, G. P., Knapp, D., Zambrano, A. M. A., Galván-Gildemeister, R., Keene, S. M., Raybin, R. F., & Smith, R. C. G. (2007) · Science · doi:10.1126/science.1146324 · Cited by 368
Development of a global ~90m water body map using multi-temporal Landsat images
Yamazaki, D., Trigg, M. A., & Ikeshima, D. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.10.014 · Cited by 367
Padoch, C., Brondizio, E., Costa, S., Pinedo-Vasquez, M., Sears, R. R., & Siqueira, A. (2008) · Ecology and Society · doi:10.5751/es-02526-130202 · Cited by 306
The distance dependence prediction of the Janzen‐Connell hypothesis: a meta‐analysis
Hyatt, L. A., Rosenberg, M. S., Howard, T. G., Bole, G., Fang, W., Anastasia, J., Brown, K. A., Grella, R., Hinman, K., Kurdziel, J. P., et al. (2003) · Oikos · doi:10.1034/j.1600-0706.2003.12235.x · Cited by 302
Measuring geographic access to health care: raster and network-based methods
Delamater, P. L., Messina, J. P., Shortridge, A. M., & Grady, S. C. (2012) · International Journal of Health Geographics · doi:10.1186/1476-072x-11-15 · Cited by 289
Mapping DigiPlace: Geocoded Internet Data and the Representation of Place
Zook, M., & Graham, M. (2007) · Environment and Planning B Planning and Design · doi:10.1068/b3311 · Cited by 264
Lathrap, D. W. (1973) · World Archaeology · doi:10.1080/00438243.1973.9979564 · Cited by 160
Neighborhood level risk factors for type 1 diabetes in youth: the SEARCH case-control study
Liese, A. D., Puett, R. C., Lamichhane, A. P., Nichols, M. D., Dabelea, D., Lawson, A. B., Porter, D. E., Hibbert, J., D'Agostino, R. B., & Mayer‐Davis, E. J. (2012) · International Journal of Health Geographics · doi:10.1186/1476-072x-11-1 · Cited by 136
The role of distance in peri-urban national park use: Who visits them and how far do they travel?
Rossi, S. D., Byrne, J., & Pickering, C. M. (2015) · Applied Geography · doi:10.1016/j.apgeog.2015.06.008 · Cited by 127
Toivonen, T., Mäki, S., & Kalliola, R. (2007) · Journal of Biogeography · doi:10.1111/j.1365-2699.2007.01741.x · Cited by 122
A review of Peruvian flood plain forests: ecosystems, inhabitants and resource use
Kvist, L. P., & Nebel, G. (2001) · Forest Ecology and Management · doi:10.1016/s0378-1127(00)00679-4 · Cited by 122
River Types, Site Evolution and Successional Vegetation Patterns in Peruvian Amazonia
Puhakka, M., Kalliola, R., Rajasilta, M., & Salo, J. S. (1992) · Journal of Biogeography · doi:10.2307/2845707 · Cited by 118
Dugan, P., Dey, M. M., & Sugunan, V. V. (2005) · Agricultural Water Management · doi:10.1016/j.agwat.2005.07.017 · Cited by 111
Species turnover and geographic distance in an urban river network
Rouquette, J. R., Dallimer, M., Armsworth, P. R., Gaston, K. J., Maltby, L., & Warren, P. H. (2013) · Diversity and Distributions · doi:10.1111/ddi.12120 · Cited by 88
Kalliola, R., Salo, J., Puhakka, M., Rajasilta, M., H�me, T., Neller, R. J., R�s�nen, M. E., & Danjoy Arias, W. A. (1992) · Naturwissenschaften · doi:10.1007/bf01131806 · Cited by 83
Gavin, M. C., & Anderson, G. J. (2006) · Ecological Economics · doi:10.1016/j.ecolecon.2006.01.010 · Cited by 80
Salonen, M., Toivonen, T., Cohalan, J.-M., & Coomes, O. T. (2011) · Applied Geography · doi:10.1016/j.apgeog.2011.06.017 · Cited by 70
Self-citationApplication of GIS Network Routines for Water Flow and Transport
Djokic, D., & Maidment, D. R. (1993) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)0733-9496(1993)119:2(229 · Cited by 62
Dumont, J. F., Lamotte, S., & Kahn, F. (1990) · Forest Ecology and Management · doi:10.1016/0378-1127(90)90188-h · Cited by 59
Palms as rainforest resources: how evenly are they distributed in Peruvian Amazonia?
Vormisto, J. (2002) · Biodiversity and Conservation · doi:10.1023/a:1015873223350 · Cited by 42
Salo, M. S., & Toivonen, T. (2009) · Environmental Management · doi:10.1007/s00267-009-9343-3 · Cited by 36
The Commercial Fishery of the Peruvian Amazon
Jesús, M. J. D., & Kohler, C. C. (2004) · Fisheries · doi:10.1577/1548-8446(2004)29[10:tcfotp]2.0.co;2 · Cited by 33
Moreau, M., & Coomes, O. T. (2006) · Oryx · doi:10.1017/s0030605306000603 · Cited by 33
Self-citationPoverty and the Spatial Distribution of Rural Population
Barbier, E. B., & Hochard, J. (2014) · doi:10.1596/1813-9450-7101 · Cited by 32
An Anthropogenic Meander Cutoff along the Ucayali River, Peruvian Amazon*
Abizaid, C. (2005) · Geographical Review · doi:10.1111/j.1931-0846.2005.tb00194.x · Cited by 30
Self-citationCoomes, O. T., Abizaid, C., & Lapointe, M. (2009) · AMBIO · doi:10.1579/0044-7447-38.3.130 · Cited by 29
Self-citationArima, E. Y. (2016) · PLoS ONE · doi:10.1371/journal.pone.0152058 · Cited by 27
Abizaid, C., Coomes, O. T., Takasaki, Y., & Arroyo‐Mora, J. P. (2016) · Geographical Review · doi:10.1111/gere.12244 · Cited by 23
Self-citationTenkanen, H., Salonen, M., Lattu, M., & Toivonen, T. (2015) · Applied Geography · doi:10.1016/j.apgeog.2015.07.003 · Cited by 19
Swierk, L., & Madigosky, S. R. (2014) · Tropical Conservation Science · doi:10.1177/194008291400700303 · Cited by 19
Salonen, M., Maeda, E. E., & Toivonen, T. (2013) · AMBIO · doi:10.1007/s13280-013-0463-x · Cited by 14
Sustainable land-use in Peruvian flood plain forests: options, planning and implementation
Nebel, G. (2001) · Forest Ecology and Management · doi:10.1016/s0378-1127(00)00690-3 · Cited by 10
Riberenos' Changing Economic Patterns in The Peruvian Amazon
Hiraoka, M. (1989) · Journal of Cultural Geography · doi:10.1080/08873638909478466 · Cited by 9
Flagged first, then by citations
Cited by
Sorted by citations
Schwenk, J., Khandelwal, A., Fratkin, M., Kumar, V., & Foufoula‐Georgiou, E. (2016) · Earth and Space Science · doi:10.1002/2016ea000196 · Cited by 184
Applications and impacts of Google Earth: a decadal review (2006–2016)
Liang, J., Gong, J., & Li, W. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2018.08.019 · Cited by 135
What is a bad flood? Local perspectives of extreme floods in the Peruvian Amazon
Langill, J. C., & Abizaid, C. (2019) · AMBIO · doi:10.1007/s13280-019-01278-8 · Cited by 55
Self-citationCoomes, O. T., Takasaki, Y., Abizaid, C., & Arroyo‐Mora, J. P. (2016) · Ecological Economics · doi:10.1016/j.ecolecon.2016.06.001 · Cited by 52
Self-citationRiver network delineation from Sentinel-1 SAR data
Obida, C. B., Blackburn, G. A., Whyatt, D., & Semple, K. T. (2019) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2019.101910 · Cited by 41
Mróz, E., Willis, T., Thomas, C., Janes, C. R., Singini, D., Njungu, M., & Smith, M. W. (2023) · International Journal of Health Geographics · doi:10.1186/s12942-023-00338-3 · Cited by 36
Coomes, O. T., Takasaki, Y., & Abizaid, C. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/ab83ad · Cited by 24
Self-citationAbizaid, C., Coomes, O. T., Takasaki, Y., & Arroyo‐Mora, J. P. (2016) · Geographical Review · doi:10.1111/gere.12244 · Cited by 23
Self-citationCoomes, O. T., Cheng, Y., Takasaki, Y., & Abizaid, C. (2021) · Ecological Economics · doi:10.1016/j.ecolecon.2021.107170 · Cited by 21
Self-citationFernández-de-Simón, J., Díaz‐Ruiz, F., Jareño, D., Domínguez, J. C., Lima-Barbero, J. F., de Diego, N., Santamaría, A. E., Herrero‐Villar, M., Camarero, P. R., Olea, P. P., et al. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.155914 · Cited by 20
Langill, J. C., Abizaid, C., Takasaki, Y., & Coomes, O. T. (2022) · Global Environmental Change · doi:10.1016/j.gloenvcha.2022.102585 · Cited by 20
Self-citationLivelihoods and poverty in small‐scale fisheries in western Amazonia
Poissant, D., Coomes, O. T., Robinson, B. E., Takasaki, Y., & Abizaid, C. (2023) · Fisheries Management and Ecology · doi:10.1111/fme.12651 · Cited by 17
Self-citationA comprehensive path planning framework for patrolling marine environment
Zhou, X., Cheng, L., Li, W., Zhang, C., Zhang, F., Zeng, F., Yan, Z., Ruan, X., & Li, M. (2020) · Applied Ocean Research · doi:10.1016/j.apor.2020.102155 · Cited by 17
Spatial evolution model of port group hinterland from the perspective of intermodal transport
Huang, G., Feng, X., Chen, M., Jiang, L., Wang, H., & Wang, S. (2021) · Maritime Policy & Management · doi:10.1080/03088839.2021.2009134 · Cited by 16
Takasaki, Y., Coomes, O. T., Abizaid, C., & Kalácska, M. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2116446119 · Cited by 15
Self-citationRiverine communities in the Central Amazon are largely subject to erosion and sedimentation risk
Zumak, A., Fassoni‐Andrade, A. C., Pereira, H. C., Papa, F., Silva, P. D. S., do Nascimento, A. C. S., & Fleischmann, A. S. (2025) · Communications Earth & Environment · doi:10.1038/s43247-025-02058-x · Cited by 11
Multi-Temporal Surface Water Classification for Four Major Rivers from the Peruvian Amazon
Kalácska, M., Arroyo‐Mora, J. P., Coomes, O. T., Takasaki, Y., & Abizaid, C. (2022) · Data · doi:10.3390/data7010006 · Cited by 9
Self-citationCOVID-19 contagion across remote communities in tropical forests
Takasaki, Y., Abizaid, C., & Coomes, O. T. (2022) · Scientific Reports · doi:10.1038/s41598-022-25238-7 · Cited by 7
Self-citationCULTURAL-GASTRONOMIC GIS-BASED ROUTES FOR PLANNING EFFICIENT URBAN TOURISM
Akay, S. S. (2026) · GeoJournal of Tourism and Geosites · doi:10.30892/gtg.64103-1653 · Cited by 6
Use of community characteristics to predict hunting and game harvests in western Amazonian forests
Zayonc, D., Robinson, B. E., Coomes, O. T., Takasaki, Y., & Abizaid, C. (2025) · Conservation Biology · doi:10.1111/cobi.70016 · Cited by 4
Self-citationJúnior, C. A. A., Miranda, P. R. S., Gonçalves, T. S., Zuba, S. M., Castro, R. V. O., & Marcatti, G. E. (2021) · FLORESTA · doi:10.5380/rf.v51i4.73731 · Cited by 3
Human and Nature: Economies of Density and Conservation in the Amazon RainforestPreprint
Tsuda, S., Takasaki, Y., & Tanaka, M. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4652170 · Cited by 3
Self-citationWang, Y., Ouyang, W., Huang, J., Ye, L., & Zhang, C. (2025) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2025.106558 · Cited by 1
Research on River Networks Extraction Based on RS and GIS
Luo, D., Wen, X., Zhang, H., Li, J., Xu, J., & Yu, Z. H. (2018) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/382/5/052021 · Cited by 1
Tropical forest environments provide insurance against COVID-19
Takasaki, Y., Coomes, O. T., & Abizaid, C. (2023) · Ecology and Society · doi:10.5751/es-14349-280308 · Cited by 1
Self-citationCahyadi, M. N., Susanto, L. O. F., Haq, F., Handayani, H. H., Raharjo, A. B., Endarko, E., Purniawan, A., Warmadewanthi, I., Sulistiawan, S. S., Waloedjo, C. S., et al. (2023) · International Journal of Geoinformatics · doi:10.52939/ijg.v19i9.2885 · Cited by 1
Kingwill, C. (2023) · FHSU Scholars Repository (Fort Hays State University) · doi:10.58809/aatz8935
Impacts of Social Assistance During the COVID‐19 Pandemic in Poor Remote Communities
Takasaki, Y., Coomes, O. T., & Abizaid, C. (2026) · Journal of International Development · doi:10.1002/jid.70086
Self-citation
Metadata
- Authors
- Webster, K., Arroyo-Mora, J. P., Coomes, O. T., Takasaki, Y., & Abizaid, C.
- Affiliations
- McGill University (CA)
- The University of Tokyo (JP)
- University of Toronto (CA)
- ORCID
- Webster, K.
- Venue
- Applied Geography
- Publisher
- Elsevier BV
- Published
- 2016-08
- Volume
- 73
- Pages
- 13-25
- ISSN
- 0143-6228 (ISSN-L)
- OpenAlex
- W2410071568
- Cited by
- 28
- References
- 41
- Citations by year
- 2026: 2 · 2025: 3 · 2023: 6 · 2022: 5 · 2021: 3 · 2020: 2 · 2019: 2 · 2018: 2 · 2016: 3
- FWCI
- 10.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Geography (publishedVersion)
- Funders
- Social Sciences and Humanities Research Council of Canada
- University of Toronto
- Japan Society for the Promotion of Science
- Topics
- Social Sciences › Geography, Planning and Development › Geographic Information Systems Studies
- Physical Sciences › Environmental Science › Water Science and Technology › Geography and Environmental Studies
- Social Sciences › Transportation › Urban Transport and Accessibility
- Keywords
- network analysis, Peruvian Amazon, river basins, market access, riverine communities
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
