<?xml version="1.0" standalone="no"?>
<metadata xml:lang="en"><Esri><CreaDate>20250219</CreaDate><CreaTime>11171300</CreaTime><ArcGISFormat>1.0</ArcGISFormat><SyncOnce>TRUE</SyncOnce><DataProperties><lineage><Process Date="20250219" Name="" Time="111713" ToolSource="C:\Program Files\ArcGIS\Pro\Resources\ArcToolBox\Toolboxes\Spatial Analyst Tools.tbx\ExtractByMask" export="">ExtractByMask V6\Probability WBDHU8_Clip_combo \\Isas-fs1\gis\Base_map_data\Illinois\IAPM_prob.tif INSIDE "626518.29984953 4098399.80047975 978508.29984953 4717599.80047975 PROJCS["NAD_1983_UTM_Zone_15N",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-93.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]"</Process></lineage></DataProperties><scaleRange><minScale>150000000</minScale><maxScale>5000</maxScale></scaleRange><ArcGISProfile>ItemDescription</ArcGISProfile></Esri><dataIdInfo><idPurp>predicted probability of encountering precontact site in each 90x90m grid cell generated by the Illinois Archaeological Predictive Model (IAPM) created by the Illinois State Archaeological Survey (ISAS)</idPurp><idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The Illinois Archaeological Predictive Model (IAPM) is a GIS-based tool developed by the Illinois State Archaeological Survey (ISAS), part of the Prairie Research Institute at the University of Illinois at Urbana-Champaign. The model builds on over a century of archaeological work in Illinois, and considers the known locations of prehistoric Native American sites, landforms that lack archaeological sites, and other environmental and geophysical variables such as elevation, distance to rivers and streams, and native vegetation. Data sampled from these locations are analyzed via GIS (Geographic Information Systems) and fed into a TensorFlow neural network (a machine learning algorithm) to predict the probability of encountering an archaeological site in every two acre square (90 x 90 meter cells) across the state.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;ISAS and other interested stakeholders use the IAPM to help protect, preserve, and assess the potential impact to irreplaceable and non-renewable archaeological resources within the context of Illinois’ need to encourage and promote sustainable development. Using the IAPM helps archaeologists prioritize time and resources during surveys, and allows us to make recommendations that prevent or mitigate impacts to the archaeological record. It also has the potential to enable ordinary citizens, managers, developers, and preservationists to become proactive planners when it comes to the archaeological resources of Illinois. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Version 3.6 of the IAPM (2025). For more information, visit https://www.isas.illinois.edu/office_of_the_illinois_state_archaeologist/illinois_archaeological_predictive_model&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs><idCitation><resTitle>IAPM_probability</resTitle></idCitation><searchKeys><keyword>archaeology</keyword><keyword>probability</keyword><keyword>Illinois</keyword></searchKeys><resConst><Consts><useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;These data are distributed under a CC-BY-SA license (Attribution-ShareAlike 4.0) by the University of Illinois Board of Trustees, courtesy of the Illinois State Archaeological Survey (ISAS).&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit></Consts></resConst></dataIdInfo><mdHrLv><ScopeCd value="005"/></mdHrLv><mdDateSt Sync="TRUE">20260220</mdDateSt><Binary><Thumbnail><Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAgEAYABgAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3c8ik
H3jVKKK7jumd23Rc4G7+lWTPEmA8qKzHoWAqQJCoJ+6KNo6YxSqQygqQVPQil70AIADRtHv+dGKX
A9KAI2KpjLEZ6d6I5ElQsjsQCQcjHNPH/wCqkI5oANp/vNTHGMEn2qSo5VJCkY+VsnNACk80ZytK
FAFLt5pWEC8U6oZ7WG5ULMgkUfwt0p8caRIERQqjoBTGDtsUn2qick1bmiMi9ePesqD7OZmSOJ1a
PuUYD8D0Nb0Xuc9foWqsRDeVfuvFV6mtj85+lVVjeJnSdpEwiVXLDOaeyK4G4A49RUTwCSXe7HHY
BiKfFCkIOzIzzyxNcqR2CqgX7igDvihmCD5v0FRF7kynakYjBHUnPvUjHnt9aAHgiqN+SsiFY3ky
fuoMmlWS4SY7mi2Z6BTnH51NFKss+R1AIq4NrVEySejHwKBErBWBYAkEciikF3btIyLPGXU4ZQwy
DRRq9Q91aD9wKBh0PrUapG8hJRc+pFTEUxgAVbvmpKHgADA4A7UUUYoACMjFNj3BdrduM+tOprqG
UoWIz3HFAD6Y6sy4DbSe4oRAiBAWIHcnJp/egCtbo6M+6eWQ56SY4+mBVikbO07fvds1EEuc8zJ/
37/+vQBna8+o21kbnTjGPKBeQP3UVwSfETxJAoS606xV89WZvmHPOQcZ9q9UIDAggEHgg14t8SoJ
ItYOn6OFXzowWVT93HUfr+tb0EpS5WiKjajdM3JfiJrNqzG5srEJnbGUdj5h4xjnv/SrCePdWa1u
7h7SyRIOB8zZZu469q8oitjoenXFzqbw+exxApUM2fX9P1Fb+g+IdJi0Ff7SuSGlYqUCZL9sDHvz
+NdE8OlrHUzjUez0Onh+KmpHSFu7nTYYnZ/L24fAbn/61dtpks1xYW1y9tHG8yB3w3TIz6V4Xq0s
s9paQwwuIdxml2psG/0+n+Nem+A9XvbvTpLFwjyWrBf3j87cY4wOeQfzq5UoxjzJWMXNy0Z29T2y
5LH2xVcZIGetWxJDbwhpJEVe5JxXNVlZWLoxblcS6neBAY4TKScYH86dDI8qkvHs9Bn/AOtSQ3tt
cMVhnjkYDOEbNSlgPX8q5jqG5LHHSmyRuwGxwvqSM0/KnB60M4RScHj2pWAom0kd1ikmPJ3ZUben
ap44IrRPlZjt9WyeahkaSVt+x1HVSelRlm/uEn1BreFPTcwnU12JZJdw54UdqKjC85bk0VryoyvJ
6miFwxOTzUczhIzuDHHPFOkZ1A2IGJ9TgUqglcuAG7gHiuQ7CK3lklUb4Xj4zliv9DU/ekT7o+lL
QAc1FPAs6FHZgDwdpxUtA60AV47OGBw6B8r6ux7Y9asAYoOaTPNAC4qKeaO1gknlbbHGpZj7Cpsm
qmow21xps8V2223ZD5hLYwvrmgaV2cXrfxP0+2WS30tXur1ex2qF46nJrzq21Ga8meS8uUjmlDN+
6cNsYjkkd6oeINItprqT7FOEbv8AIVY+n1zWZ9gvIIYpLi+VCx2bAcF8dVIHXrXfDCQklPmfoZPE
uneHKn5iXUUl7d74be4mTdsR3+Zm7de1NTR7tNS3SQyyeRtZVVcg84HTpirtkJ9P8K3lxPFKUlfa
hEuDHgkZ56dqsx2t9exNAoAaW23wTxuy7fY84z2/GuvnknZWsjm5I2Td7s7G1to0kZ5NrjyFbyNh
J3dx9elbvhC026xIrQGKQwuT8m3cpKkc+v5V5HBHren38ELSNEkkm1JHz83Tp9a9b8DxPaasI3ZW
aVHLdSc9Tz6e1cWIi4by32NqS5lovU9BihSIfLmnOiPjcoOPWnjpQa47m/oIFVTwoH0FBozUTwJK
2XyR6GkBIOgpSOKZDGkUYVFwOtPPNACFcjFM8hOOKl5prlgjbRlu2aabWwmk9xhhTae1FNhNwf8A
XeV9EzRSuFifvSdqTnI5H5UfN7UDGqMZXcadj3pDknPHFNkuIYhmWRIx6ucUAPO7H3h+IoG7HUUK
6SKGRlZT0IORTqAG5fH8NAJPpSkdaRelACHcORXnXj/xRcQ3iaBb2kMoukwXZvocH0r0c14j4hSC
4v8AVNNnt3bUpmm2uPvD5sofp92taSi5e8roltpXjoc5Y3uoRX5e5js0eeUIBIh8xRnrjPA5rpNa
sh9qidpYo44UMjPtyI+nP1/Ws3SLMrBarqUBaWFirRuvLnGVYY6nNWtRgaaz/s+Gb7OcEsHO1nbq
q4+tdUqi57RdjOFO8OaSuZWt3dkY4jcSAWEbKxjT700hHK7QeANuc/7VX79YptIj1LTJJVEh2+Uz
ZUf7uDxXM2EFzcS3kmoqwvNqhhKp+5nquOg47VsxG2urNmVpYIY9q7i2wD1wv1rp5Ektdjn5nJ7F
IwanerC4heS4t3ZxGSTJj+9jpt6jj0rs/h5dX1x4ttDdQSBBbyL5khwWJAbO0e3c1maVcu1498Y2
IhhZE3rkqOOSffDflW34Onhu/G8U0QYP5THnIBXbjK5/wrkqVnJSi47HVCilaXNvqesSMUQsqFj/
AHR3pI3aSMlomjPo2P6U+o5JhF1Rz7gVxGgsfnBf3vl9P4c9aecHjNRRXMUse7eo+pp3kxF/M8tC
/XdjmgB69OaOlIp461H9ojLmME7x22mgCbNRh3MhGz5B/FmnMCVI9aqray5Ym6kXJ6Jt4/MUAWSM
uD6UUM23vzRSuhChgwyCCPUUpOB1qEWsZXa6q67t2GGRSxW8NuhWGGOMHkhFC5NMZIoxn3pmxWbL
KC3vUai5V9zurJ/cC8/nSSyS7W+TY38OTnNAFgADpwBS1WhFwVG6VTyM/J2/OrNAARxSd6MjtUc0
yQKZHPyjrgZ/lQBKRXAeOPDEVwZNUSHeylWLJw0bDHzfpXeRTpMrFCSAdpyCOaV1RlKsAQex71UJ
uEromUbqx47YyNdSJAwKkZ8ssmMnsTj/ADxWP4rurjT545orq2Z4Gz5bYY5IxkD0rsvE9gmja4s1
kBHFJHvdPTqOM9uRXD6oryi4mmilaKUgKkRyX+XIBbqB7V0YaUfaSv1FXTdOLXQpxE67bpcjypbi
E7XNypwv3jxjjHtjtSXAv79EgiSL7NFEWEgiKgnB/Tj+VO1DToJNFsSg2XJwZkSTBIJwePXn9Klu
tQliSDT1mIuJ9iphtvyd2x7812OSXwnOouW5JZ3d/BYQxNOsdvGh3yY2l2ySCueejCrvw0t7iPxh
9okyxMjqxOeBtP8A9aszVbR5J7y1iuJJ1baN4b5RwMgD1A9Otdp4ASCLxE6+YBgEIrj5vu8A/wDj
xHtWVSoo02+5cabc7dj05LvcyDyJ13HGSnT61LIglUoc8+lOblTUMjFVzgn6V5rdjcEtYFXHlRnH
faKnJxUcICx9/m5pQ+WYYxt4oGKD+HNCqASQOT1NV5EeVWCvt5/KnwRMjEmaRgONrYx/KmBMeBzT
XfCH3olPyHtUW9FXLsAPU1LfQTGeWXcN6DpRThcQuDslUknAANFKwizmjPems6KQGYAnoD3oSRJV
3IwYeoqyhfShlBHIzS0h7Y9aAFHHFKKTOOtNLccUALkA+9MkGMmkBywoO41NxFNbm6MQLWEob0Lp
n+dXRkj2pD1pCcDjrSuIrXllbXU0M08KyNDnYSP5+ted+LGitNSf7NFHCZsRDZ0bpuOOxxxmvTHL
NG2z72OM+teOLcX9jrF2usR4eFTMG2DDH+LDf56im4SqR93c1p1YwleWxJLZ2zaiFWLYxk8wnq20
DsOvX+YrktYgW/1r7SzC3aBNy+ZIOW7DA6A/0rorXUbq6XUr7zHSMqFRUjGWI7g/THaqepaZa2v2
G4ihd7hJN05iH3lHc57ZNehRahpLfY56jcrW23LMVnDPopureDeyBpWdTk+YR2/EDrW94VsL2+1X
TZvKit5oG8yd85LgDHpxnPT6VnNeGKKZUiWG2H+sTn5cjlunFekeGdOi0rR45mY7pkV2Z+NoxwOv
v+tc9SopLl6mkYuD5u/5m7Iu+Nl55GOKhgIXKN8voDRBeW11kQXEcvy7vkcHj1quYFS5yoYkd81z
yBl7OCB1+lMIJYlTUdx+8VUSTaT3BwafBAIFP7yRif77FqYCgAdO9PKjPQVDLEXUnfIMHIEfGeKc
jTcb0jA9d5z/ACosAkw2gcnNM8reuCetEzNJJsUA45zTwcH3qL3YiKO2hiPyptxRTy2Diii6Askc
0Y5ppkX1oV1IzuFaXKH4prDp9aUEeoprsFAbGcen0oAcRSbetJG+9N21l9m60rNhSdpOB0FADGTn
FQ3ExgUYQsT6U9GuTt3xxj1w5P8ASnsitjJqWuwiC3Z5AzNkA9qr3MxWUoI5DtGSwxj6Vd2YTCHG
KoSXNsGLO54ODgE4NQ9iWXIXUop5+hrM1vw7YeI4UgvUbEb7g6YB/wB36VfwrhTux6c1NECOmSTV
Rk09A3PKLvw9H4d1OWwjaNPOHmwvJnDc4wfwH4VDeEFVQiJgG3u0bdcDv+P9a7XxlEjSQCVUjSRC
nnn8yv8AUVzF3ok9zYteQ2ha2I3JIUyzcev9au15OTerOlVPdUbaIoFY9auLa2R4w0sux9jdyO/o
BxxmvYfJBjVH+YDt2rhfB/hzRdS0631Oa0Z7xHIZXyojdW4wPptrvC2OKbio6IzlUc90J5aqRgAK
OwpEQBmPen5yPSo2dYwXdgqjqTUsgJIEkdXI+ZT1pjXcMbGNywZfRGIpsV3BLIFWaMknC4cHdVk4
OR3oARXVwCucetRXE6RKwLDdjOM1KMA44qqyRz3Z3IrDbg5FJsBkByvmbgS3Q5qcrx1qpKFgb+6M
/KBSiWR1JZjGv/jxrNdiSwwyOTRUcbLLgsRu7LRTGTtyKQdKYwcPwRj0NJHK7OwKYUdDnrVlEtKo
w2ccU0nH1pEwW+bpRcCwGBFRidWbArN1G7jtpY0+0qmfmKF1XcP+BEfpVy3eGWFJVHDDIIbP8qNR
DjIyv8xyD2FOfJQ7T1Hal24GRUEcspuCjoQvrx/jSsInVCIhuwTVORXRjkcGrp57moywAy2aTV9g
ZD5TSFSOh7elXUXaoGOaFGF7ilB5IqoxsNIr39hbalbG3u4hJEecH1qS2hSC1jhQYRFCqD6UuN7k
84HFP2+5qxkXkrFEViUIOuFGOaFnj2jc4BxnmpCO2TUPlIBt25A9akQ9poV5aRB9TTyFbAPI+lQ+
VDg7okOeuRmmNe4kKiGZwONyLkUwLGIwfugEf7NRvh2Iy2PapT7U04C570mBBI6wqVRMfSo4iyMM
qeetWCg2/NznmoBKrThcgnPTNQ9XcQ/Bd8hMnpmjygR8wyTTnmhRvLM0aHrgsM4qRECDlic9Saqw
yARSRqRbrGW9WP8AXFFJcXaqpjiGc/xCiloIfjceaUY64oooW5QE5IpEO1gR/niiijqLoOY4O7AJ
PtUM8hGFxwaKKUhMhjkmM8Z80hTwVxwasSQKW3AkH2ooqVsIlQ7l5qRFBGaKKuI0Vru8NtJtEYbC
g5zjuf8ACrETFkB6ZANFFWULGcop6bjzT2OFJ9KKKARGx4/GmFzj8aKKgljz82M0zOxC4HPJoopo
YxDcErulQ7sZwmP61LK21emcUUU2D2K8TM8ZZmJLfN9M8Y/SoIYStwHDKC5bd8nXNFFT1EWpXWHb
tjHzHmqEl200m3btB980UUpAxt3N5FuVC5C/P1xnnGKKKKFsB//Z</Data></Thumbnail></Binary></metadata>
