نتایج جستجو برای: simpson diversity

تعداد نتایج: 191705  

Journal: :شیلات 0
سپیده سلیمانی پی کارشناس ارشد زیست شناسی دریا، دانشگاه علوم و فنون دریایی خرمشهر نسرین سخایی استادیار گروه زیست شناسی دریا، دانشکدة علوم دریایی و اقیانوسی، دانشگاه علوم و فنون دریایی خرمشهر سیمین دهقان مدیسه استادیار پژوهشکدة آبزی پروری جنوب کشور احمد سواری استاد گروه زیست شناسی دریا، دانشکدة علوم دریایی و اقیانوسی، دانشگاه علوم و فنون دریایی خرمشهر محمدعلی سالاری استادیار گروه زیست شناسی دریا، دانشکدة علوم دریایی و اقیانوسی، دانشگاه علوم و فنون دریایی خرمشهر

the aim of this investigation was to study the planktonic shrimp-like communities density and diversity in artificial reefs of khuzestan coasts, bahrakan waters (the persian gulf). sampling was conducted for one year from may 2011 to april 2012, monthly. zooplankton were collected with plankton tows using 300 μm mesh net. totally, two superfamily, penaeoidea, sergestoidea and one suborder carid...

Journal: :Mineralogical Magazine 2020

Journal: :Bulletin of the Atomic Scientists 2000

Journal: :Physics Today 2015

Journal: :The Lancet 1831

Journal: :Scientific American 1900

2016
Kwasi A. Darkwah Ezekiel N. N. Nortey Anani Lotsi

The main objective of the study is to compare the Newton-Cotes methods such as the Trapezium rule, Simpson 1/3 rule and Simpson 3/8 rule to estimate the area under the Lorenz curve and Gini coefficient of income using polynomial function with degree 5. Comparing the Gini coefficients of income computed from the Polynomial function with degree 5 for the Trapezium, Simpson 1/3 and Simpson 3/8 met...

2005
Akira Utsumi

In this paper, we argue that the metaphor form of a comparison (i.e., a topic-vehicle pair) is preferred over, and more comprehensible than, the simile form when the interpretive diversity for that comparison is high. Interpretive diversity refers to the richness of the figurative meaning of a comparison; it is high to the extent that more features or properties are related to the figurative me...

2002
Harini Nagendra

Among the most popular of metrics used to quantify landscape composition are Shannon’s index, believed to emphasize the richness component of diversity, and Simpson’s index, emphasizing the evenness component. These indices can show considerable variation in response to changes in landscape richness and evenness. However, the possibility of encountering opposite trends in the responses of these...

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function paginate(evt) { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term pg=parseInt(evt.target.text) var data={ "year":filter_year, "term":term, "pgn":pg } filtered_res=post_and_fetch(data,url) window.scrollTo(0,0); } function update_search_meta(search_meta) { meta_place=document.getElementById("search_meta_data") term=search_meta.term active_pgn=search_meta.pgn num_res=search_meta.num_res num_pages=search_meta.num_pages year=search_meta.year meta_place.dataset.term=term meta_place.dataset.page=active_pgn meta_place.dataset.num_res=num_res meta_place.dataset.num_pages=num_pages meta_place.dataset.year=year document.getElementById("num_result_place").innerHTML=num_res if (year !== "unfilter"){ document.getElementById("year_filter_label").style="display:inline;" document.getElementById("year_filter_place").innerHTML=year }else { document.getElementById("year_filter_label").style="display:none;" document.getElementById("year_filter_place").innerHTML="" } } function update_pagination() { search_meta_place=document.getElementById('search_meta_data') num_pages=search_meta_place.dataset.num_pages; active_pgn=parseInt(search_meta_place.dataset.page); document.getElementById("pgn-ul").innerHTML=""; pgn_html=""; for (i = 1; i <= num_pages; i++){ if (i===active_pgn){ actv="active" }else {actv=""} pgn_li="
  • " +i+ "
  • "; pgn_html+=pgn_li; } document.getElementById("pgn-ul").innerHTML=pgn_html var pgn_links = document.querySelectorAll('.mypgn'); pgn_links.forEach(function(pgn_link) { pgn_link.addEventListener('click', paginate) }) } function post_and_fetch(data,url) { showLoading() xhr = new XMLHttpRequest(); xhr.open('POST', url, true); xhr.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); xhr.onreadystatechange = function() { if (xhr.readyState === 4 && xhr.status === 200) { var resp = xhr.responseText; resp_json=JSON.parse(resp) resp_place = document.getElementById("search_result_div") resp_place.innerHTML = resp_json['results'] search_meta = resp_json['meta'] update_search_meta(search_meta) update_pagination() hideLoading() } }; xhr.send(JSON.stringify(data)); } function unfilter() { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":"unfilter", "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } function deactivate_all_bars(){ var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(bar) { bar.dataset.active = false bar.style = "stroke:#71a3c5;" }) } year_chart.on("created", function() { var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(check) { check.addEventListener('click', checkIndex); }) }); function checkIndex(event) { var yrchart = document.querySelectorAll('.ct-bar'); var year_bar = event.target if (year_bar.dataset.active == "true") { unfilter_res = unfilter() year_bar.dataset.active = false year_bar.style = "stroke:#1d2b3699;" } else { deactivate_all_bars() year_bar.dataset.active = true year_bar.style = "stroke:#e56f6f;" filter_year = chart_data['labels'][Array.from(yrchart).indexOf(year_bar)] url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":filter_year, "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } } function showLoading() { document.getElementById("loading").style.display = "block"; setTimeout(hideLoading, 10000); // 10 seconds } function hideLoading() { document.getElementById("loading").style.display = "none"; } -->