<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20230822</CreaDate>
<CreaTime>10274300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Schools</itemName>
<nativeExtBox>
<westBL Sync="TRUE">1606961.581299</westBL>
<eastBL Sync="TRUE">1623710.310269</eastBL>
<southBL Sync="TRUE">1686915.014834</southBL>
<northBL Sync="TRUE">1719016.992296</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
<projcsn Sync="TRUE">NAD_1983_StatePlane_Kansas_South_FIPS_1502_Feet</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.2.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_Kansas_South_FIPS_1502_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,1312333.333333333],PARAMETER[&amp;quot;False_Northing&amp;quot;,1312333.333333333],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-98.5],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,37.26666666666667],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,38.56666666666667],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,36.66666666666666],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,3420]]&lt;/WKT&gt;&lt;XOrigin&gt;-121025700&lt;/XOrigin&gt;&lt;YOrigin&gt;-93674900&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.0032808333333333331&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102678&lt;/WKID&gt;&lt;LatestWKID&gt;3420&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20180802</SyncDate>
<SyncTime>12362800</SyncTime>
<ModDate>20180802</ModDate>
<ModTime>12365100</ModTime>
<ArcGISProfile>ItemDescription</ArcGISProfile>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
</Esri>
<eainfo>
<detailed Name="Schools">
<enttyp>
<enttypl Sync="TRUE">Schools</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">16</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">NAME</attrlabl>
<attalias Sync="TRUE">NAME</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">FULLNAME</attrlabl>
<attalias Sync="TRUE">FULLNAME</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">75</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SCHL_CODE</attrlabl>
<attalias Sync="TRUE">SCHL_CODE</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">GRD_RANGE</attrlabl>
<attalias Sync="TRUE">GRD_RANGE</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ADDRESS</attrlabl>
<attalias Sync="TRUE">ADDRESS</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">CITY</attrlabl>
<attalias Sync="TRUE">CITY</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ZIP</attrlabl>
<attalias Sync="TRUE">ZIP</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">PHONE</attrlabl>
<attalias Sync="TRUE">PHONE</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">12</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">CAPACITY</attrlabl>
<attalias Sync="TRUE">CAPACITY</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">PERM_CLRM</attrlabl>
<attalias Sync="TRUE">PERM_CLRM</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">PORT_CLRM</attrlabl>
<attalias Sync="TRUE">PORT_CLRM</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SCHL_STATUS</attrlabl>
<attalias Sync="TRUE">SCHL_STATUS</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SCHL_TYPE</attrlabl>
<attalias Sync="TRUE">SCHL_TYPE</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">3</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">NOTES</attrlabl>
<attalias Sync="TRUE">NOTES</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">150</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ELEM_</attrlabl>
<attalias Sync="TRUE">ELEM_</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">MID_</attrlabl>
<attalias Sync="TRUE">MID_</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">INT_</attrlabl>
<attalias Sync="TRUE">INT_</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">HIGH_</attrlabl>
<attalias Sync="TRUE">HIGH_</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">WEBSITE</attrlabl>
<attalias Sync="TRUE">WEBSITE</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">150</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">STRT_GRD</attrlabl>
<attalias Sync="TRUE">STRT_GRD</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">END_GRD</attrlabl>
<attalias Sync="TRUE">END_GRD</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SchoolID</attrlabl>
<attalias Sync="TRUE">SchoolID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SchoolName</attrlabl>
<attalias Sync="TRUE">SchoolName</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Street</attrlabl>
<attalias Sync="TRUE">Street</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">City_1</attrlabl>
<attalias Sync="TRUE">City</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">State</attrlabl>
<attalias Sync="TRUE">State</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Phone_1</attrlabl>
<attalias Sync="TRUE">Phone</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">LowGrade</attrlabl>
<attalias Sync="TRUE">LowGrade</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">HighGrade</attrlabl>
<attalias Sync="TRUE">HighGrade</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">URL_1</attrlabl>
<attalias Sync="TRUE">URL</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">UseCode</attrlabl>
<attalias Sync="TRUE">UseCode</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">created_user</attrlabl>
<attalias Sync="TRUE">created_user</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">created_date</attrlabl>
<attalias Sync="TRUE">created_date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">last_edited_user</attrlabl>
<attalias Sync="TRUE">last_edited_user</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">last_edited_date</attrlabl>
<attalias Sync="TRUE">last_edited_date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<dataIdInfo>
<idPurp>To use the SchoolSite Desktop™ Extension, three major datasets are required: Study Areas, students, and schools.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;Study Areas (polygons) are the building blocks of a school district. Study areas grouped together (and coded to specific school ID numbers) form attendance boundaries. Study Areas are geographically defined, following logical boundaries of a neighborhood and are used for boundary planning and generating small area enrollment forecasts. SchoolSite Desktop™ does not use separate feature classes for each set of school attendance areas. Using a unique field coding method, all attendance areas are stored within the Study Area feature class attribute table. &lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;P STYLE="font-style:italic;font-weight:bold;margin:0 0 0 0;"&gt;&lt;SPAN&gt;Required Fields for SchoolSite Desktop or SchoolSite Locator:&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;STDYAREA: A field containing the unique number of the study area, defined as data type "Text" with a length of 6.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;ELEM_: A field containing the Elementary School number the study area is assigned to, defined as data type "Short Integer".&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;MID_: A field containing the number of the Middle School number the study area is assigned to, defined as data type "Short Integer".&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;INT_: A field containing the number of the Intermediate School number the study area is assigned to, defined as data type "Short Integer".&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;HIGH_: A field containing the High School number the study area is assigned to, defined as data type "Short Integer".&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;DISTRICT: A field containing a six letter code used to report and summarize portions of the District, defined as data type "Text".&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;MOBILITY: A field containing a 1 letter code used to indicate the Study Areas inclusion in the Mobility calculation. Y = Yes included in Mobility calculation and N = No do not include in the Mobility calculations. Defined as data type "Text". The MOBILITY field should be defined as data type "Text" with a length of 1.&lt;/SPAN&gt;&lt;/P&gt;&lt;P /&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;Although the following fields are not required, they are HIGHLY recommended. It’s not just for Locator and Matrices, those fields are used for automated mobility calculations and adding historical student information to resident projections.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="font-style:italic;font-weight:bold;margin:0 0 0 0;"&gt;&lt;SPAN&gt;Suggested But Not Required Fields, which are helpful to set up SchoolSite Locator or Attendance Matrices:&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;ELEM_DESC; A field containing the name of the Elementary School that the study area is assigned to. The ELEM_DESC field should be defined as data type "Text" with a length of 50.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;MID_DESC: A field containing the name of the Middle School that the study area is assigned to. The MID_DESC field should be defined as data type "Text" with a length of 50.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;INT_DESC: A field containing the name of the Intermediate School that the study area is assigned to. The INT_DESC field should be defined as data type "Text" with a length of 50.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;HIGH_DESC: A field containing the name of the High School that the study area is assigned to. The HIGH_DESC field should be defined as data type "Text" with a length of 50.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;REGION1: A field containing the name of a region the study area is assigned to that a user would like to be able to report on, i.e. Board Trustee Areas, Transportation Service Areas, Zip Code, etc. The REGION1 field should be defined as data type "Text" with a length of 50.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN&gt;REGION2: A field containing the name of a second region the study area is assigned to that a user would like to be able to report on, i.e. Board Trustee Areas, Transportation Service Areas, Zip Code, etc. The REGION2 field should be defined as data type "Text" with a length of 50.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 0 0;"&gt;&lt;SPAN /&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Districts with established Study Areas need to map and enter the information into a geodatabase feature class or a shapefile. &lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Created by Davis Demographics</idCredit>
<idCitation>
<resTitle Sync="TRUE">Schools</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<searchKeys>
<keyword>Study Areas</keyword>
<keyword>Polygon</keyword>
<keyword>Maize USD 266</keyword>
<keyword>Maize Unified School District</keyword>
<keyword>Maize</keyword>
<keyword>Witchita</keyword>
<keyword>Sedgwick</keyword>
<keyword>Kansas</keyword>
</searchKeys>
<envirDesc Sync="FALSE">Esri ArcGIS 12.2.1.12813</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-97.481746</westBL>
<eastBL Sync="TRUE">-97.422585</eastBL>
<northBL Sync="TRUE">37.779132</northBL>
<southBL Sync="TRUE">37.690458</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3420"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">8.2.10(9.3.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Schools">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="004"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">16</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="Schools">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="1"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">16</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<mdDateSt Sync="TRUE">20180802</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAlgCWAAD/4RXURXhpZgAATU0AKgAAAAgABwESAAMAAAABAAEAAAEaAAUA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</Data>
</Thumbnail>
</Binary>
</metadata>
