For most of the parameters the average user should not adjust anything but species number, transect number, and sample number.  
<br>The loglinear model creates a relatively realistic species assemblage.  
<br>The statistical modifications at the bottom are not optomized but increasing the number of bootstraps will slow the model and will likely cause your browser to time-out. I apologize for this but in future models I hope to improve the interface.<br>
<form action="/cgi-bin/jacksamp/newrun.pl" target="mainFrame" method="post">
	<select name="method">
		<option>random</option>
		<option>transect</option>
	</select> Choose the sampling type.
	<br>
	Choose the method of populating the world.
	<select name="population">
		<option>loglinear</option>
	</select> 
	<br>
	Choose the number of transects (ignore if random sampling)
	<input type="text" name="numberoftransects" value="10">
	<br>
	Choose the number of samples (transects: the number of transects divided by the number of samples = samples per transect)
	<input type="text" name="totaltransectsamples" value="50">
	<br>
	Choose the number of species
	<input type="text" name="speciesnum" value="33">
	<br>
	Choose the minimum number of sites (how rare can you be?):
	<input type="text" name="minmodifier" value="10">
	<br>
	How large of a patch for a species?
	<select name="patchsize">
		<option>0</option>
		<option>1</option>
		<option>2</option>
		<option>3</option>
		<option>4</option>
		<option>5</option>
	</select>
	####################################################################################<br>
	During each bootstrap how many samples will be added? e.g. 10 would mean 10 then 20 then 30 then 40
	<input type="text" name="msamplenumber" value="10">
	<br>
	How large is the world?  Be careful 150 = 22500 cells, 1000 = 1000000 cells
	<select name="columns">
		<option>25</option>
		<option>50</option>
		<option>100</option>
		<option>150</option>
		<option>200</option>
		<option>350</option>
	</select>
	<br>
	Select the number of times to bootstrap each sampling.
	<select name="iterations">
		<option>100</option>
		<option>200</option>
		<option>350</option>
		<option>500</option>
		<option>1000</option>
		<option>1</option>
		<option>5</option>
	</select>
	<br>
	Select the number of runs.  For example 10 would start at a sample of 10 and end at a sample of 100 (each bootstrapped X times).
	<select name="runs">
		<option>20</option>
		<option>10</option>
		<option>30</option>
		<option>40</option>
		<option>50</option>
		<option>100</option>
		<option>200</option>
		<option>500</option>
	</select>
	<br>
	<input type="submit" value="run model">
</form>
<p>
A word of caution, this may take anywhere from 5 seconds to several minutes to run depending on your selections.
When the model is done a graph will be drawn on the screen.
<p>
Key: Black circle = observed species, blue circle = ICE, red circle = Chao2, red square = singletons, blue = doubletons, black bars = 
standard deviation