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Igpet為火成巖巖石學(xué)的教學(xué)和研究提供了工具，允許用戶開發(fā)自己的數(shù)據(jù)文件和使用圖形長須發(fā)現(xiàn)和解釋的地球化學(xué)變化模式。Igpet是為火成巖巖石學(xué)數(shù)據(jù)分析和圖形包。有Windows（XP或Vista）和Mac版本（系統(tǒng)X）。
Harker,Fenner,Discrimination,CMAS,SPIDER,REE和Pearce元素比例圖
線性回歸、雙曲線混合和AFC建模
CIPW規(guī)范和小二乘分離和巖漿混合計(jì)算
使用剪貼板將數(shù)據(jù)傳輸?shù)诫娮颖砀窕驁D形以繪制程序
出版物PDF質(zhì)量輸出
Igpet繪制了大多數(shù)類型的巖石學(xué)圖，包括Harker、Fenner、三角圖形和測井圖。計(jì)算器包括（-/*）、Log、.、平方根、ppm和軟骨石函數(shù)。特殊用途的圖表，例如Irvine和Baragar（1971）巖石分類方案，存儲在易于擴(kuò)展的控制文件中。CMAS預(yù)測包括O-Hara、Walke、Grove、Baker和Eggle等等。蜘蛛圖包括REES、Wood、Thompson、SUN、McDonough等。
Igpet提供了幾個數(shù)據(jù)集，包括low pressure cotectic數(shù)據(jù)、moderate pressure cotectic數(shù)據(jù)、MORB glasses以及來自中美洲火山的calc-alkaline rocks。
Igpet不斷更新，以適應(yīng)新的操作系統(tǒng)和新的特性和功能。
繪制誤差線繪圖
Igpet具有圖例功能
變量窗口中的公式解析器
Ce*，Eu*，Nb*添加到“其他參數(shù)”功能中
符號數(shù)量加倍
單擊按鈕切換X和Y軸變量
Macintosh版的Igpet現(xiàn)在與OSX完全兼容
Igpet的Windows版本已經(jīng)使用XoJo重寫，因此它不再被防病毒程序標(biāo)記為“損壞”程序。另外，矢量圖形輸出現(xiàn)在保存為PDF而不是WMF文件。Mac版的IgPet現(xiàn)在經(jīng)過公證，可以在Catalina操作系統(tǒng)上使用。
英文簡介：
IgpetprovidestoolsforteachingandresearchinIgneousPetrology,allowinguserstodeveloptheirowndatafilesandtousegraphicsroutinestodiscoverandinterpretpatternsofgeochemicalvariation.
Harker,Fenner,Discrimination,CMAS,SPIDER,REEandPearceelementratioplots
Linearregression,hyperbolicmixingandAFCmodeling
CIPWnormsandleast-squaresfractionationandmagmamixingcalculation
Transferdatatospreadsheetsorgraphicstodrawprogramsusingtheclipboard
Publicationqualityoutput
Igpet3/4drawmosttypesofpetrologicdiagrams,includingHarker,Fenner,triangularandplots.Acalaulatorincludes(-/*),Log,square,squareroot,ppmandchondritefunctions.Specialpurposediagrams,e.g.theIrvineandBaragar(1971)rockclassificationscheme,arestoredincontrolfilesthatcanbeexpandedeasily.CMASprojectionsincludeo-Hara,Walker,Grove,BakerandEggleretc.SpiderdiagramsincludeREES,Wood,Thompson,SunandMcDonoughetc.
Igpet3/4comeswithseveraldatasets,includinglowpressurecotecticdata,moderatepressurecotecticdata,MORBglasses,andseveralsuitesofcalc-alkalinerocksfromCentralAmericanvolcanoes.
IGPETPLOTS
IgpetprovidestoolsforteachingandresearchinIgneousPetrology,allowinguserstodeveloptheirowndatafilesandtousegraphicsroutinestodiscoverandinterpretpatternsofgeochemicalvariation.
Igpet example charts
Regression lines are sometimes informative and colored backgrounds can be either soothing or distracting, depending on one's mood. A toggle button swithches background color on and off.
One of Igpet's functions is fitting a regression hyperbola（a mixing curve）in ratio versus ratio plots. Reasonable fits, like the one above, indicate that mixing is not ruled out. The top line can be toggled on/off by the NB（nota bene）button.
Every gechemist likes spider plots, perhaps because the Log scale of the Y axis hides a lot of noise and failure to fit. However this data set is high quality and has limited range of variation.
This spiderplot for just Cerro Negro was made from the same datafile as the La/Yb versus Ba/La diagram above it. Igpet's SubSelect menu is a powerful tool for filtering large datafiles to get to what you want. It obviates the need for numerous small datafiles.
One cannot make the Granada lava by melting just a depleted mantle. Other components are needed. The strongest part of Igpet is multi-element modeling based on Spider plots. Models available include batch melting, aggregated fractional melting, AFC, FC, etc. The models（+'s） remain in memory and will plot in XY plots.
The origin of the term, calc-alkaline. Where the data array crosses the horizontal line at 1.0 identidies the field. The data here, the Central American volcanic front, define a calc-alkaline assemblage. Peacock's original diagram was different but this easier to plot.
The distribution of SiO2 in Central American volcanics is not normal. The histogram on the left has sub-boxes for all the different groups that have different symbols. It also has some statistics. The same data make a more publication friendly image when plotted using the same sysbol for all function（using#32, a grey cross）. The fitted normal curve is obviously not a “good”fit.
Igpet generates a separate legend for diagrams/files with too many symbols, like the Central American volcanic front file diaplayed in the previous six diagrams.
This set of Harker diagrams for Telica volcano was made with eight preset rectangles. Not a very attractive diagram because the X-axis is too broad. It is included here just to show an Igpet capability. The X and Y axes can be adjusted in the file Harker 2. txt.
Many tectonic identification and rock nomenclature plots are included in Igpet. Note the funny item “NM100”. This means that the analyses were normalized to prior to plotting, AS SPECIFIED BY THE CREATORS OF THE DIAGRAM! The line of text just above the diagram is easily removed using the NB on/off toggle button. Data are from Irazú volcano in Costa Rica.
According to this method, eveb the basalts at Irazú are mostly trachyandesites.
This diagram works better and accurately finds the basalts at Irazú.
The IUGS “offcial”classification names the rocks at Irazú as the Costa Rican geologists do and findes mostly basalts and andesites.
The Central America data are shifted to lower Nb contents and do NOT plot in the fields of Oceanic basalts. This is one way to show the well-known Nb depletion in arc magmas. Many of the open symbols for Nicaragua plot in the Oceanic field and wer recognized as odd many years ago when their robust TiO2 contents earned them the sobriqust“High Ti”basalts. This was a misnomer because the TiO2 contents were only high relative to the greatly depleted magmas found at arcs. These are arc magmas that are mildly enriched Ba, Sr and Pb and have a bit of 10Be. They lack HFS depletion. What are they doing in Nicaragua？
THe yellow pentagon id a DM（depleted mantle）estimate.
The Costa Rican lavas, as shown above, are indeed Calc-alkaline.
Many volcanoes have distinctly different magmas erupting. This example is Telica in Nicaragua. I changed the font to Futura just to show that the fonts can be changed. All the other diagrams use Arial.
Igpet allows error bars. For each element you add a column called“error”right after the column of element values（or oxide or isotope ratio etc）. Put the errors in this column and you get a plot like the one above. The errors shown here for Boqueron volcano are eatimates. SiO2 is 1.0%, so a value of 53 gets an error of 0.5.3. For TiO2 the error estimate was 2.0%.
It is always a good idea to separate identifiable subnits using symbols. The pyroclasti flow from the Ilopange caldera that erupted about 400 AD had two populations of pumice lapilli, white and grey. The fall deposit from the eruption, called Tierrs Blanca Joven（tbj）was the result of a hydromagmatic eruption that turned whatever pumice was present into fine particles. Analyses of bulk fall deposit lie between the two populations of pumice lapilli.
Finally, here is one of my favorite ideas, plotting geochemistry against physical or tectonic parameters. This is Ba/La against distance along the volcanic front of Central America. It needs to be spiffed up in Ai.
Quadratic and cubic polynomial regressions are now included in Igpet（June 2014）. In the case below there is no logical reason to fit the data with a cubic regression. I include this plot just to make the point that having this capabilit and using it wisely require statistical knowledge and understanding of geochemical modeling that is not included in Igpet. In other words, dont't blindly do stuff！
