{"id":"https://openalex.org/W2145737783","doi":"https://doi.org/10.1007/978-3-642-57489-4_16","title":"A Wildlife Simulation Package (WiSP)","display_name":"A Wildlife Simulation Package (WiSP)","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W2145737783","doi":"https://doi.org/10.1007/978-3-642-57489-4_16","mag":"2145737783"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-57489-4_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-57489-4_16","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Compstat","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003834173","display_name":"Walter Zucchini","orcid":null},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Walter Zucchini","raw_affiliation_strings":["Institut f\u00fcr Statistik und \u00d6konometrie, Georg-August-Universit\u00e4t G\u00f6ttingen, Platz der G\u00f6ttinger Sieben 5, G\u00f6ttingen, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Statistik und \u00d6konometrie, Georg-August-Universit\u00e4t G\u00f6ttingen, Platz der G\u00f6ttinger Sieben 5, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045966880","display_name":"Martin Erdelmeier","orcid":null},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Erdelmeier","raw_affiliation_strings":["Institut f\u00fcr Statistik und \u00d6konometrie, Georg-August-Universit\u00e4t G\u00f6ttingen, Platz der G\u00f6ttinger Sieben 5, G\u00f6ttingen, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Statistik und \u00d6konometrie, Georg-August-Universit\u00e4t G\u00f6ttingen, Platz der G\u00f6ttinger Sieben 5, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000533321","display_name":"David L. Borchers","orcid":"https://orcid.org/0000-0002-3944-0754"},"institutions":[{"id":"https://openalex.org/I4210120676","display_name":"Mathematical Institute of the Slovak Academy of Sciences","ror":"https://ror.org/02fhy7464","country_code":"SK","type":"facility","lineage":["https://openalex.org/I207624831","https://openalex.org/I4210120676"]},{"id":"https://openalex.org/I16835326","display_name":"University of St Andrews","ror":"https://ror.org/02wn5qz54","country_code":"GB","type":"education","lineage":["https://openalex.org/I16835326"]}],"countries":["GB","SK"],"is_corresponding":false,"raw_author_name":"David Borchers","raw_affiliation_strings":["Research Unit for Wildlife Population Assessment, Mathematical Institute, North Haugh, University of St Andrews, St Andrews, Fife, KY16 9SS, Scotland"],"affiliations":[{"raw_affiliation_string":"Research Unit for Wildlife Population Assessment, Mathematical Institute, North Haugh, University of St Andrews, St Andrews, Fife, KY16 9SS, Scotland","institution_ids":["https://openalex.org/I16835326","https://openalex.org/I4210120676"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003834173"],"corresponding_institution_ids":["https://openalex.org/I74656192"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14008621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10199","display_name":"Wildlife Ecology and Conservation","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10199","display_name":"Wildlife Ecology and Conservation","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13546","display_name":"Census and Population Estimation","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wildlife","display_name":"Wildlife","score":0.7603784799575806},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7345816493034363},{"id":"https://openalex.org/keywords/abundance","display_name":"Abundance (ecology)","score":0.6483958959579468},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.5816901922225952},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5759449005126953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5655694007873535},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3973045349121094},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3331664800643921},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32397258281707764},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3110823631286621},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.22848162055015564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20833662152290344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18907001614570618},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1278667449951172},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.06120622158050537}],"concepts":[{"id":"https://openalex.org/C29376679","wikidata":"https://www.wikidata.org/wiki/Q241741","display_name":"Wildlife","level":2,"score":0.7603784799575806},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7345816493034363},{"id":"https://openalex.org/C77077793","wikidata":"https://www.wikidata.org/wiki/Q336019","display_name":"Abundance (ecology)","level":2,"score":0.6483958959579468},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.5816901922225952},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5759449005126953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5655694007873535},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3973045349121094},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3331664800643921},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32397258281707764},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3110823631286621},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.22848162055015564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20833662152290344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18907001614570618},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1278667449951172},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.06120622158050537}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-57489-4_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-57489-4_16","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Compstat","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1500471333","https://openalex.org/W1969761972","https://openalex.org/W2047810995","https://openalex.org/W2073096671","https://openalex.org/W2488520097","https://openalex.org/W4254259096"],"related_works":["https://openalex.org/W2000315402","https://openalex.org/W2361909619","https://openalex.org/W3113123330","https://openalex.org/W2164318214","https://openalex.org/W2032233321","https://openalex.org/W2799487830","https://openalex.org/W2398337084","https://openalex.org/W3121970507","https://openalex.org/W2144834373","https://openalex.org/W3085323195"],"abstract_inverted_index":{"WiSP":[0],"is":[1],"an":[2],"R":[3],"library":[4],"of":[5,20,45,64],"functions":[6],"designed":[7],"as":[8],"a":[9,43],"teaching":[10],"tool":[11],"to":[12,16,27,38,48,53,61],"illustrate":[13],"methods":[14],"used":[15,60],"estimate":[17,54],"the":[18,50,55,67],"abundance":[19],"closed":[21],"wildlife":[22],"populations.":[23],"It":[24,57],"enables":[25],"users":[26],"generate":[28,39],"animal":[29],"populations":[30,51],"having":[31],"realistically":[32],"complex":[33],"spatial":[34],"and":[35,52],"individual":[36],"characteristics,":[37],"survey":[40,46,49],"designs":[41],"for":[42],"variety":[44],"techniques,":[47],"abundance.":[56],"can":[58],"be":[59],"assess":[62],"properties":[63],"estimators":[65],"when":[66],"model":[68],"assumptions":[69],"are":[70],"violated.":[71]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}