ALM

Computational Research on Mobile Pastoralism Using Agent-Based Modeling and Satellite Imagery

Publication Date: March 10, 2016
Journal: PLOS ONE
Author: Takuto Sakamoto
Volume: 11
Issue: 3
Pages: e0151157
DOI: https://dx.plos.org/10.1371/journal.pone.0151157
Publisher URL: http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0151157
PubMed: http://www.ncbi.nlm.nih.gov/pubmed/26963526
PubMed Central: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4786315
Europe PMC: http://europepmc.org/abstract/MED/26963526
Web of Science: 000371993000112
Scopus: 84962535141
Mendeley: http://www.mendeley.com/research/computational-research-mobile-pastoralism-using-agentbased-modeling-satellite-imagery-1

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CiteULike13 May 21:19 UTC

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Mendeley 905 May 09:15 UTC

Mendeley | Further Information

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ORCID13 May 18:07 UTC

Scopus | Further Information

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Web of Science®23 Mar 08:09 UTC

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Journal Comments15 Nov 03:26 UTC

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Figshare 609 May 14:45 UTC

Figshare

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{"files"=>["https://ndownloader.figshare.com/files/4833568"], "description"=>"The flow of the NOMAD behavior.", "links"=>[], "tags"=>["simulation", "resource access", "approach", "circumstance", "Satellite Imagery Dryland pastoralism", "article", "100 satellite images"], "article_id"=>3110434, "categories"=>["Cell Biology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Information Systems not elsewhere classified"], "users"=>["Takuto Sakamoto"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151157.g001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/The_flow_of_the_NOMAD_behavior_/3110434", "title"=>"The flow of the NOMAD behavior.", "pos_in_sequence"=>2, "defined_type"=>1, "published_date"=>"2016-03-10 09:40:16"}
{"files"=>["https://ndownloader.figshare.com/files/4833643"], "description"=>"This map was generated from the MODIS land classification dataset (MCD12Q1). The yellow pixels correspond to the sites that are classified as ‘croplands’ according to the UMD classification scheme. The green pixels indicate the other land classes, such as ‘grasslands’ and ‘savannas’.", "links"=>[], "tags"=>["simulation", "resource access", "approach", "circumstance", "Satellite Imagery Dryland pastoralism", "article", "100 satellite images"], "article_id"=>3110500, "categories"=>["Cell Biology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Information Systems not elsewhere classified"], "users"=>["Takuto Sakamoto"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151157.g005", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Distribution_of_croplands_in_2010_/3110500", "title"=>"Distribution of croplands in 2010.", "pos_in_sequence"=>6, "defined_type"=>1, "published_date"=>"2016-03-10 09:40:16"}
{"files"=>["https://ndownloader.figshare.com/files/4833712"], "description"=>"Each of the line graphs shows the dependence of kappa statistics on changes in the following parameters: NOMAD POPULATION (top left), CARRYING CAPACITY (top right), MOVE RANGE (bottom left), and GRAZE RANGE (bottom right). These statistics quantify the similarity of the land-use pattern observed in a given parameter setting to the baseline pattern. These were computed using three different values, 0.001 (red), 0.01 (blue) and 0.1 (yellow), for the land-use threshold.", "links"=>[], "tags"=>["simulation", "resource access", "approach", "circumstance", "Satellite Imagery Dryland pastoralism", "article", "100 satellite images"], "article_id"=>3110569, "categories"=>["Cell Biology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Information Systems not elsewhere classified"], "users"=>["Takuto Sakamoto"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151157.g010", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Comparison_of_kappa_statistics_/3110569", "title"=>"Comparison of kappa statistics.", "pos_in_sequence"=>11, "defined_type"=>1, "published_date"=>"2016-03-10 09:40:16"}
{"files"=>["https://ndownloader.figshare.com/files/4833940"], "description"=>"The main parameters of the model.", "links"=>[], "tags"=>["simulation", "resource access", "approach", "circumstance", "Satellite Imagery Dryland pastoralism", "article", "100 satellite images"], "article_id"=>3110698, "categories"=>["Cell Biology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Information Systems not elsewhere classified"], "users"=>["Takuto Sakamoto"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151157.t001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/The_main_parameters_of_the_model_/3110698", "title"=>"The main parameters of the model.", "pos_in_sequence"=>16, "defined_type"=>3, "published_date"=>"2016-03-10 09:40:16"}
{"files"=>["https://ndownloader.figshare.com/files/4833805"], "description"=>"The seasonal land-use maps with the corresponding kappa statistics (top row), the means of the ROUTE ranges (bottom left), and the means of the resources available to NOMADs (bottom right) are displayed. The kappa statistics were calculated by setting the land-use threshold to 0.01. These graphs, which are similar to Figs <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151157#pone.0151157.g009\" target=\"_blank\">9</a> and <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151157#pone.0151157.g011\" target=\"_blank\">11</a>, were derived from simulations that were conducted with different values of DISRUPTION EFFECT; otherwise, the settings were identical to the baseline condition.", "links"=>[], "tags"=>["simulation", "resource access", "approach", "circumstance", "Satellite Imagery Dryland pastoralism", "article", "100 satellite images"], "article_id"=>3110635, "categories"=>["Cell Biology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Information Systems not elsewhere classified"], "users"=>["Takuto Sakamoto"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151157.g013", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Effects_of_tsetse_flies_on_the_model_/3110635", "title"=>"Effects of tsetse flies on the model.", "pos_in_sequence"=>14, "defined_type"=>1, "published_date"=>"2016-03-10 09:40:16"}
{"files"=>["https://ndownloader.figshare.com/files/4833652"], "description"=>"These 12 maps were derived from 20 baseline runs. The parameters were given the values that are underlined in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151157#pone.0151157.t001\" target=\"_blank\">Table 1</a>. In each of the maps, the whiter pixels indicate the sites that have a larger presence of NOMADs in the corresponding month. In this example, the maximum number of agents per pixel per year is approximately 0.798, which was recorded in June.", "links"=>[], "tags"=>["simulation", "resource access", "approach", "circumstance", "Satellite Imagery Dryland pastoralism", "article", "100 satellite images"], "article_id"=>3110512, "categories"=>["Cell Biology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Information Systems not elsewhere classified"], "users"=>["Takuto Sakamoto"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151157.g006", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Monthly_distribution_of_land_use_intensity_baseline_/3110512", "title"=>"Monthly distribution of land-use intensity (baseline).", "pos_in_sequence"=>7, "defined_type"=>1, "published_date"=>"2016-03-10 09:40:16"}
{"files"=>["https://ndownloader.figshare.com/files/4833589"], "description"=>"The shaded square indicates the study area. The reference map of Nigeria was taken from the CIA’s World Factbook (<a href=\"https://www.cia.gov/library/publications/the-world-factbook/geos/ni.html\" target=\"_blank\">https://www.cia.gov/library/publications/the-world-factbook/geos/ni.html</a>).", "links"=>[], "tags"=>["simulation", "resource access", "approach", "circumstance", "Satellite Imagery Dryland pastoralism", "article", "100 satellite images"], "article_id"=>3110452, "categories"=>["Cell Biology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Information Systems not elsewhere classified"], "users"=>["Takuto Sakamoto"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151157.g002", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/The_area_of_study_/3110452", "title"=>"The area of study.", "pos_in_sequence"=>3, "defined_type"=>1, "published_date"=>"2016-03-10 09:40:16"}
{"files"=>["https://ndownloader.figshare.com/files/4833730"], "description"=>"Each of the line graphs shows the dependence of the mean ROUTE range on changes in the following parameters: NOMAD POPULATION (top left), CARRYING CAPACITY (top right), MOVE RANGE (bottom left), and GRAZE RANGE (bottom right).", "links"=>[], "tags"=>["simulation", "resource access", "approach", "circumstance", "Satellite Imagery Dryland pastoralism", "article", "100 satellite images"], "article_id"=>3110584, "categories"=>["Cell Biology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Information Systems not elsewhere classified"], "users"=>["Takuto Sakamoto"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151157.g011", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Effects_of_parameter_changes_on_movement_/3110584", "title"=>"Effects of parameter changes on movement.", "pos_in_sequence"=>12, "defined_type"=>1, "published_date"=>"2016-03-10 09:40:16"}
{"files"=>["https://ndownloader.figshare.com/files/4833661"], "description"=>"This map is a composite image of the dry season (January, February and March) and rainy season (July, August and September) distributions of land-use intensity. The red pixels indicate the dominance of the dry season land use. The green pixels, in contrast, indicate the rainy season dominance. The yellow pixels denote the land use in which there is no clear seasonal difference in the intensity.", "links"=>[], "tags"=>["simulation", "resource access", "approach", "circumstance", "Satellite Imagery Dryland pastoralism", "article", "100 satellite images"], "article_id"=>3110521, "categories"=>["Cell Biology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Information Systems not elsewhere classified"], "users"=>["Takuto Sakamoto"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151157.g007", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Seasonal_differences_in_land_use_intensity_baseline_/3110521", "title"=>"Seasonal differences in land-use intensity (baseline).", "pos_in_sequence"=>8, "defined_type"=>1, "published_date"=>"2016-03-10 09:40:16"}
{"files"=>["https://ndownloader.figshare.com/files/4834045"], "description"=>"Example of a confusion matrix.", "links"=>[], "tags"=>["simulation", "resource access", "approach", "circumstance", "Satellite Imagery Dryland pastoralism", "article", "100 satellite images"], "article_id"=>3110782, "categories"=>["Cell Biology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Information Systems not elsewhere classified"], "users"=>["Takuto Sakamoto"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151157.t003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Example_of_a_confusion_matrix_/3110782", "title"=>"Example of a confusion matrix.", "pos_in_sequence"=>18, "defined_type"=>3, "published_date"=>"2016-03-10 09:40:16"}

PMC Usage Stats 58017 Mar 20:41 UTC

PMC Usage Stats | Further Information

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{"unique-ip"=>"7", "full-text"=>"8", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2021", "month"=>"1"}
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Relative Metric10 May 18:34 UTC

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{"start_date"=>"2016-01-01T00:00:00Z", "end_date"=>"2016-12-31T00:00:00Z", "subject_areas"=>[]}

F1000Prime15 Apr 08:32 UTC

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