MILEPOSTS_JUL25 MILEPOSTS_JUL25.DBF FDOT Feature Class44231 OBJECTIDOBJECTIDOID4100Internal feature number.EsriSequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. SHAPEGeometry800 ROADWAY Road system designation used by RCI as the roadway identifier. FDOT ROADWAYString800 MILEPOST Mile post number FDOT MILEPOSTDouble8388 TYPE All values should be equal "MILEPOST" FDOT TYPEString800 ID_MP Calculated based on FID FDOT ID_MPDouble8388 MP_RDWY Calculated based on fields MILEPOST and ROADWAY FDOT MP_RDWYString2600 MP Mile post number FDOT MPInteger4100 LAT_DDLatitudeGeoPlanLAT_DDDouble8388LONG_DDLongitudeGeoPlanLONG_DDDouble8388MGRSMilitary Grid Reference System (MGRS) Coordinate of the Facility. The MGRS is the geocoordinate standard used by NATO militaries for locating points on the earth. The MGRS provides a means to represent any location on the surface of the Earth using an alphanumeric string. Hierarchical references are based on the Universal Transverse Mercator (UTM) coordinate system. The MGRS is used for the entire earth. http://mgrs-data.orgGeoPlanMGRSString1500GOOGLEMAP Webpage hyperlink to location in Google Maps.GeoPlanGOOGLEMAPString10000DESCRIPTFGDL added item based on NONEGeoPlanDESCRIPTString2500FGDLAQDATEDate GeoPlan acquired data from source.GeoPlanDateFGDLAQDATE800AUTOIDAUTOIDInteger410Unique ID added by GeoPlan. This field is for historic tracking of features.0 GIS Section Manager Florida Department of Transportation, Transportation Statistics Office GIS Section Manager (850) 414-4848/Toll Free: (800) 399-5503 Transportation Statistics Office, 605 Suwannee Street, MS 27 Tallahassee Florida 32399-0450 US CO-TDAGIS@dot.state.fl.us 2025-07-05 ArcGIS Metadata 1.0 0.000Florida Geographic Data Library (FGDL)Jonathan and Melanie Antevy Hall1480 Inner Road, Room 431PO Box 115706GainesvilleFL32611-5706UShttps://fgdl.org/info/contact/NoneDOWNLOADABLE DATAhttps://www.fgdl.org/Enterprise Geodatabase Feature Class Florida Department of Transportation RCI Derived Mile Posts - July 2025 20250705T00:00:00 Florida Department of Transportation, Transportation Data and Analytics Office (TDA) Florida Department of Transportation Tallahassee, FL vector digital data State of Florida This dataset contains mile post markers derived from the Florida Department of Transportation Roads Characteristics inventory (RCI) dataset. This dataset is designed for use with the ETDM project and is associated with the other layers RCIROADS and ROADIDS. The FDOT GIS Functional Classification Roadways feature class provides spatial information on the assignment of roads into systems according to the character of the service they provide in relation to the total road network. Sam Palmer University of Florida GeoPlan Center GIS Specialist 3523928686 Architecture Building Gainesville Florida 32611 US Florida transportation Florida Department of Transportation ISO 19115 Topic Category - July 2025 transportation Florida This product has been compiled from the most accurate source data from the Florida Department of Transportation's Transportation Statistics Office. However, this product is for reference purposes only and is not to be construed as a legal document or survey instrument. Any reliance on the information contained herein is at the user's own risk. The Florida Department of Transportation assumes no responsibility for any use of the information contained herein or any loss resulting therefrom. THE DATA INCLUDED IN FGDL ARE 'AS IS' AND SHOULD NOT BE CONSTRUED AS LEGALLY BINDING. THE UNIVERSITY OF FLORIDA GEOPLAN CENTER SHALL NOT BE LIABLE FOR ANY DAMAGES SUFFERED AS A RESULT OF USING, MODIFYING, CONTRIBUTING OR DISTRIBUTING THE MATERIALS. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. FDOT GIS: http://www.fdot.gov/statistics/gis/default.shtm Environment as of Metadata Creation: Microsoft [Unknown] Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1 (Build 11595) Service Pack N/A (Build N/A) true -87.5869 -79.873 31.042 24.5085 publication date 20250705T00:00:00 The RCI is a computerized database of physical and administrative data related to the roadway networks that are either maintained by or are of special interest to the Department. In addition to data required by the Department, the RCI contains other data as required for special Federal and State reporting obligations. The RCI is maintained by District and Central Office personnel. While there are many other important databases maintained by the Department (several that contain more highly technical data such as bridge specifications, highway design, or pavement) the RCI remains the largest database with over 1 million records. (Chapter 1 – Page 1 RCI Office Handbook) 1-87.586886-79.87304631.04202124.508491 The data set was taken from the Florida Department of Transportation Statistics Office from the following webpage: http://www.dot.state.fl.us/planning/statistics/gis The data set was originally downloaded in July 2025 as the RCI basemap. Specific instructions, created by FDOT, their consultants, and the GeoPlan Center, were carried out. The data set is then to be updated on a regular basis. The data was originally in UTM Zone 17, Nad83, units meters. -Project the shape file to the standard FGDL projection (EPSG = 3087). GeoPlan 2025-07-10T00:00:00 University of Florida - GeoPlan Center Unknown Spatial and Attribute Information This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.This data is provided 'as is' by GeoPlan and is complete to our knowledge.GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan.This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan.0 44231 1.0 24000 Unknown 2025080412110800FALSEArcSDE ConnectionMILEPOSTS_JUL2500257663.583800793917.09560062549.309100781513.9338001ProjectedGCS_North_American_1983_HARNLinear Unit: Meter (1.000000)NAD_1983_HARN_Florida_GDL_Albers<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/3.4.0'><WKT>PROJCS[&quot;NAD_1983_HARN_Florida_GDL_Albers&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,400000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-84.0],PARAMETER[&quot;Standard_Parallel_1&quot;,24.0],PARAMETER[&quot;Standard_Parallel_2&quot;,31.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,24.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>-1042.24225875</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>20250807145708002025080714570800 /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2+gAo ARulAC0ANV1ZmUHJXrQBxPxN8PX+u6NA+nDdNbOzlOuQRjgetZ1Y8yBHz9LEweKKQRIu9QyNkENk cHHbPOK5k7XGI2LeIOQJG3BpCI8diPz5o3YD1YhXljkcrt3kLJgDPTBx9KXkxkjNC0iJguwkKJg5 49Occ5I9qFsIini8syOxflTkHBJzyOo4H5U12AEuIxshVinyhiHwwAJPr/v9qTT3GMYGRmZU3qxA c+ad2OOe/WnsIfOjFSxjVgoLAbsLuAzkr34yKSGdx8NdWbSvFUHmuIoLvKTl343YJ5JP94VpRfvW Ez3ZNSsJPuXts30lU/1rqEWBIjBSHU7hkYPWgB1ABQAUAFABQAUAFAHJ+NPHFv4RiiX7Obq5lBYR BsYUdz+uKiU1HcCvpHxP8P6rDATJJBcTSrF5DLuIJGRkjjHNCnFgdBfXVvI6xRzRs/UhWBNaICpT AKACgAoAKACgAoAKACgAoAKAN8nHWpAQMG6HNAAelACSNsjZvQUAUtOJZ5WJ64psC8xIRiq7iBwP WkB8reJQL3U9Sd4UVvOeR4lbneSV28f7wrkcmp3YxljZ/bNPmmhlQW0OGLSy4GTn5BkcnPb2NLlb vID2XRfDPgvw/wCFrbVdSFvL5sYLXFwQxYkfdUDr34FdMVFK4jz7wzq2mLrmnrqpC6bZzzTJN5QY nPIDYySAdvPqSKyjJJpPYZS8X6ppup+Jri40iCNbZmw+G+9/tbcccZqajjJgZK2YmvJo4GimMO5x I7hQQq5+UsBj+MgfSoUW9EBA1jdxQxs0LCAj5ZAhPXt6H8Pai63GQSYSYMIXZQdxOwL8xOACc8dx +VC2EWLaObUbiX7O0LhY9xPnKCeSc8n86ajoBJY2k7pJDbuzGI5YDjbwxGRnp757UNS3sAqXWpTo kouJ44reQBsynCZyFUcnI6mneSQCw6xrlrcLeW+o3Mc28OnmOT5mOgAP8smmpu4Gza+OPEljPPO+ ozO0yMzq8gOM5+6OmQTke4xQqkrgLp3j/wAU29wn/E2uGZVyEnOVIz6EDmh1JLULFuL4m+LPKYHU GWQMCPMt14XjPPAPf8vem6srhY6PQvjBcRXMy66gaIg+U0SjgjuR1waqNW+4WOu8EeMLvxTb6luF v9ptzmJAeCCDtz7ZFXTm5LURXf4iT6LqMeneJdLNrcSkGN4XBV1Jxnk8fnmj2ltJIDkvjJDCNVsr sPIhkg3b8cNg9Pbis6y1Q0ecxt9klVc4wh8tzIAQOe316exHtWN7q4zsPhu4fxa80soLPEyoS5Jf 8T1710UXrZsTPYq6BBQAUAFABQAUAFABQAUAFABQA95pJDl3JoAEkePOxiM+lADhcSiMpu4JzSAB cSCNk3EqfWmAsDtE4ZXA9QTSANZ1K8j02Q6TFHNedEWQ4X61LvbQDyKT4Y6zeKLiW9tobhpPMKKc AeuWVcnqehHXrxWPsG9R3Ldh8KJY4Yku9ZO2NdnlxQ5GPTJOar2CbuwubY+GXh0RqPKnEqrgTCTD dc/T9Kv2UbWEUZ/hTpzFTb6neoVOf3mG7k44C+v6UvZLowOZ1n4d63bSSy4OoQMcsY5m3ADpw2Tn Hpms5Upbp3GZqWOnNqUzWNpPPBJayStDqLlDFLgbtuHHPAA68Hvilpe0UBgw2xludsI8yeQnbwGe QdT1OD0z3rJJvQZav4JkitpJbOO2SSP92wLDdg8kZYnov0yeBTa62EQwS3NlKzJGXnlLRsncHGMg H6k042TswOy0eW21G5urS8u4dOMFuzM103DNtYYIyeBuH5Vqne6egFDUdRjsLU2KQJIoZS00cm9Z FC4459ecdueBUymlZAR6bMb61trBEMZlVk8x5RtJCnJJJJwMEkYoTT0AdBJI1le6ilm0kCFIpZny wDgHAIBxg/iOnSjnaV+gG3pnga98Y2P9pRtHaRIrCM/eaQ9QvXgdBnNNR51cDzu+UWupG1ltgy+Z hlRmPI68Z7f1rJJpb6gNEzgBvOHmIMAgHD7eOFOOeOo96VhnW/DnxTZ+F9VvLy982OGS2Y+THHkO wIx04z1GSe9awlZ6iLmreIb3xlq0lzcwrbxQKFtgpyB8yt36kjrx2o5lPVgGq3c3iG8T+0rhppIV aMyoNioMHGAOMiqlZvUDFl023laIzGcb9/ljcvLH6jg8j5jk/Lxis1GPQDV0X7NpPiG0uLW4admk 8t3O0g7sgZOOcHHNXBRjJAeneRfrK8qLmTawVjwO/P8AKugRp2olFuvnnL89euPyH8qYE1ABQAUA FABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQBgeIPCOm+IQHnTyrhek0Y5x7+tRKCluB5b4m8 LXXh3VFkR5Ps/S3n4wvHc9jXPOHI9BlTVbK6lhfU4DLc2yOtuk8qgfvMbhgDPHykfl61MrvW+gFN NJvZ76OC0gee4mAlXylJZUxjLccdOfcUlGTAWG5udI1YyTWizXcXyyQzKTmQ5AGD15P8qEmpagFl Bd6/rEkVriWeY54KqOByPTOP601FzYHoul/DO1azuP7SZ47pmIhkhYZjXGPTvW0aVlqFzFu/Dure HfDYKXFyLu78xZYETfEIVABZ26BuSwz/AEqeRxQCeAL3WZbptCsNXS0WYbm8xOcjrs9/p6VFNt6I Gc/4m8PS+HdaNrPJBJNu3Ao2d5OMZ9Dx0PtUzTi7MDnpkD+ZgowO4Bs4I5GAB3PJGaEAqus7qibl 7SI2Mgcf1xRtqBoSyvLGySh0SSUy7RxhsAEd8AZxik59EBNbao8xjuNyQzWkSxwqYRhuSMkk4Jwc gn0q+YDKJCuCWGzaN21uCvTr07A8etRuBZiJg+WEybVkB3A53HoMUcz6gfRGl3S32lWt0h4liVuu e1dyd1cRbpgFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAU9UjtZNMuPtsAntw hZ025yAO3vSe2oHkGmahod9qK6RrGqXEWiW7STQRCHcdzY4O0HB69cjr061zabN6DJtYvLLSLqOf wprF7GLceSVddrOCS2QQFBX5vUdBwc0pNL4WA7w34YvvFc0t/cX5WJpD58u/MpfvjHT8f1pwpyk+ Zgdvp3w90bS9Yj1K1e4EiOX2Fl2ljj2zjjOP6cVsqaTuhHWVoBV1KyTUtMubKUsEnjMZKsQeR6ik 1cDyWG01HR5l0++vI7B7MmeG5a3LmaQdt/oQOOnXvXK1y6PSwzZ+FcsGp+I9VutS+y3Em0yq8kS5 VgfmYE887j37fSqpO7dwZw/iG8tNZ8UalfwWyxWszh1jRSpKgdTgY5xu49etZzknIDK3Ms0Q8tiu Ts2fKIxyTnnle/bpUdGMSRI1XyseYVJyj8YUEgd8jHHU9fXGaab3ETW961uLqCK3XE4Ee7y9zbOu AxxtznsCeKpNpAaIn0ufRbu3ksUivdym3fczfLjDAYG0jksCFH3SPQ0XVgMwDdJhCzHbgBiQCM/X J6emeagZ7L8N9SF74ZFuZVeS1kKHAxgHkflnH4V10neJLOwrUAoAKACgAoAKACgAoAKACgAoAKAC gAoAKACgAoAKACgAoAKACgBGUOpVgCpGCD3oAxIfB+gQ3P2gadE8md37wlgT9D9TUKnFbIBdR8J6 NqMWw2UUGWDFrdFQnHbgdKcoKSswNDT9NtNLtRb2cKxxjnjqT6mmkkrIC3TAKACgDE8XWhvfDN5E lv58oXdGuOc56iomrxYHmtxpGn3V/pOg6FBLDqTqYp7iSTCMQhZwQOnf646Vg0m7LcZytzCLW8ms 2mSQxs0ZIYMp2nGcf561i1ZjK3loYGJIVthRVGCOuevTn0piGCSQ3LF4TlWLKdpyOuR7YIOfxosr ATRuYpHCsm3G1uAQVPckdqE2thk95FdLa2zTWrwiY5UsCQy7iRgHsFB/Om1a1xF21utBbQNRtb2J xqiyeba3CHPHoQTgDFXHl5bAbXw/1w6Tr8VrLJGba8XyjzyGB+U+nViKKMrO3cGez11iCgAoAKAC gAoAKACgAoAKAJbiMRzMFIxngUgIqYBQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAHKa9 4WkluUv9IuotOnAfz5iAMKykFhwTnnHUcd+lZyh1QHlkenz6jJBaafbSNeRBnuX8vKHnIYAkYxjB 7Vy2T+EZTnFzc3avO8k0kzhCw+UNyBzjgZz1z1wKT11ApoqSJlwhJUBiWAY88Z5GeSevtSd0MeWW MojISSmQzfLnHqfQj/OaW6A6GCwa70KHXL/VrKVYMQx2MtziUKGZTgfwgbhx7dPXW11diKOvWUWl arNBA9vPBJAsqylvM2KcYXcBlW9apx5boCK5gEEGn3MNjdRo8RUzyHcJ3XBJU/dIUHAwwPGetRLR JoD27wxq51vw/a3b4E+3ZMoPRxwf8fxrrjJSV0I16oAoAKACgAoAKACgAoAKAFJLEk9TQAlABQAU AFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFADJYxLE8bdHUqfxoAoaHpFp4a054LRCUJaSU4yZ D7+vpUxioqwHkPizUVfxVHqMelJpzxyJJEgGCzKQVY4xjpXNOT5rpDMSystR1aSVYbV5ptollA7Y HDYz65H0xUJXu0BSNvJA7szlJPMJIIIwf7pyf5+lK/SwzpdH1vRYvCF9Y3en+Zqsjt9nnDMVQsMD nPUFM596tcijqhDI7nSrXwbLaNpAnuZGyLxmzsOATwe2KE1bYDEkllkiFopmkWGMmFVPClm/hXGM nvjsKmN5LUDsvA2pyeGfEEmj3gaKOZtkiSjDI46E/UECtacnF8sgPX66RBQAUAFABQAUAFABQAUA FABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAHkfxP8OSw341cAS28/wAuzPKu Bn+QY5rmqxs+YZxlvdPbSJPaahNFOOVZcoVycAc9eAv681kvdasBDrU4jubsTz/a5ZiS0qfN8+O5 /wA9+Kdm5AAtrgIZYrJ2gVvkmIYqQT2GM9COn1pKLauA5luIo5YpXRFeNlY+X8xG7sCOD78U4+7q BEk09vIr2pZJotssSxddwDcMO3f34FKO9wN25lvoNS0+9a7S9vjh5VuG2FGXsScbunWr+0n1A9m0 LXrTXLNJIpYxcBf3sG8boz7jrj3rpjJSV0I1aoAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoA KACgAoAKACgAoAKACgAoAKACgAoAKAPLPib4llgu30WSaA2jKjldvzo+CM8H0bPSues2/dQ0ebN5 RXzTKgnB+d9gB3AgYGOelYa7AbOlaJd608tuw+zstpLMm4ufMVR/DnOT26U4w6gSw6gtiLWV2lBs RtFvHyGyxPzZx/eBzjt+VRavd7gTjV7Oe+ae4SR/LZgcIOVJyBgcHpT9prcLEb6tHcXubaGTDM6h 4lBKggAYA4yORn34NHMm7gS6/wCIrW4sIongVJUbYgMIDdM7mOOSenrTlJyVgO7+GutaNqFnPAlp p9nqC42iDIaRepzkk/rWtN+VhHd1qAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFA BQAUAFABQAUAFABQAUAMmmjt4XmlcJGgLMx6ACgD5817URqmtXOoROZUkkJX5NxUDoc9uAB+NcU3 eTGU55ZrmCBSgCRxiMMUUbh15bPJ+bk+wqW0B0eieJ9S0ua1vJbZMw28lrbSMAFO4g45OD1rSMmr AZGuXv2mfUJbyy87UriQEyQTJtQLyeASDkZHHoaV9XzAZWQcM4YeXkugOCp9+cdagZveF9Vu/D+s R3tva2rsQYi8g+TDEc55x90nPTANVCVndCOt1DQ/+En8VzLrn2RpbizZ7f8As6fepZAcHPr0Fa6u WoHN+AJvI8a2glI5YwkjkBtjYz/L86mlpOwHuldQgoAKACgAoAKACgAoAKACgAoAKACgAoAKACgA oAKACgAoAKACgAoAKACgAoAKACgAoAw/F18un+GbyRig3r5QLgkZbgcD60nsB4UdJnur944/MmSN mQEIPvdB6H8x6etcnI18IwXRJlWKNYCAwJJOASCN3GMYwO5ODye9K0rgPurS9+wRxtcMlpAeEIH3 iOTzwMjvR7yWqApKrxSLHuLbN5XfJt3L1UgYwfvE598VO+oGz4cXTxqsU2pI1xaJIP8ARYNqs+Og XaRk59fzqo2vqB3niTRZPCkN60Nms3h/WECyROn7y2fBwRwfmGeM8YBHXBrWS5F5ATeDPC+i+LNB S7jlv7G+tpCry205Bl9Cd4P0OMdKUIRaA85ubO98M+ITbzwiK6s7hWiLYIY5ZgeO3TuM96zleMrg e86TqUOr6Vb38GQkyBtp6qe4PuDxXYmmroRdpgFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAB QAUAFABQAUAFABQAUAFABQAUAYnivRpNc0KS1hYCZWWWMN0ZlOQDUyV1YDy3wzPdS60ba8ZIFUvN cyOD8qjk4P1AH41zw1k10GZ0+qxx6jLDbxh7Nf3UZc5LqibAX5/SlKavdAPfV4rzw/NDKxF75iII RHtQJg5+Ynr2/Gk3eOoGGyNb+Yw/dnairzkLkEnn6lvfpUNa2YF7TLOW9uwlvLHHKiks8jbVAGD1 7EZoSuwPXhoPjN9PgVNSs9RsnhG+3nG5WXOcZ7nHQ10KM7b3A4Vzq3hi9nhvWvtHsLiRmK243H1A DE9ATis1eMtdEBneKVivLqzuYb26u2lgV387JeM8jbx3BINKclbRgdR8L9YSOWXRjKGQqZIuc4YA bhn6HP4VpQk3dMGenV0CCgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKA CgAoAKACgDwLxaHstcuLRIjAvmFp083c0q7gfl4HoOCa5J6N2WozL06JXvVN8kyooXE9qvz46jAY gcAY/DHvUKSTA0r57BNTkC3V06bM+ayiJxIBnDgFuOc5/Wm0lrqBjF4xIryO+4vgHDAFDjaMlAD8 oPcdanXoMW2MkMhmRA+0q3zMpDHGSM8c/QmhvYR7l4Z+KGmXGniPWB9gmiRcMqFklBO0bQuSDnHH v+XRGqra6BY5bxp8RdG8SWV5pn2JjFE26C6LEHI9V25GR2/lUzmmrAcpaXK2WnQXLWdzcxSZjkea 2XyyrfdZHznI/DBxz2qNUr2Az/Dmox6Tr1leLJLLsmAZjkAjocdiOnOaISalcD6HR1kjV0IZWGQR 3Fdgh1ABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAHE/EPw yup6adStrdZLy1w7Lj/WIOo+orKpDmWm4HlFlpRvjOsUDzmKPd+6j+72BYZ6fhmuaN2rjLKvqEWk 3NnNEGR2UyNIjEr1HynPHp7077gWPD1vpj6s8WpRXciuB5P2NQCsh7Yx0wCePUUR5Zbga+raLpEe jzHTtM1cXcb7980J2kd847Yq3FWsrgP8O3C+RdX2vadf6tDFA0cJLkxw7ck8k8dsfjSi7q8lcDn3 0XUYLCKZUdIJHEcb79xc4/hHXHYmocXbmsBDPbXMbzs+bSaHlYGBUuT7549fyostVICiTNHEqxo6 oy5G4HgE+vTpzU2W7Ge0/DzVpNT8Mok3+stm8r72SV7Z/Cuym7xJOtrQAoAKACgAoAKACgAoAKAC gAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAIBGCMg0AeD+LLCXwv4guY4ZAgky8HzFS yNyAODnBG3/9dck4uMtNhmU19qkNnJZcRW0gEhV3OwgZ+bkfX8qi7Ss+oHU+GLiw8Laro+pW8d5L 5gP2pHjX5WYAHZ83zL8wx9OvNaJqMk/0A6bxr4+XUrS3srFNQtLaUkXMrKEJU4+Uc+/TNVKd9gIv Cniey074ZajbMkM90jSD7O0u3zY3YDdzngbxkDPT3ohKKi0ugGz8O/Af2G1g1XV0SS4ZA9vExDeU DzngAZ6U4QtqxFP4qaALzXNDltjElxfS/ZWDYGTkbWPrjdz9BRUjcZx3iXwjr3h+0WK/zPp8QzbS QH5FbuHO3Iz747c1nKLjGzAr/DbVfsPiiOH7UWt73dGI+SA3XnOMYwRyO9VRlZ2Bnt9dIgoAKACg AoAKACgAoAKACgAoAKACgAoACQBk0AICCMg8UAAYE4BoACQCATyaAFoAKACgAoAKACgAoAKACgAo AKAOZ8c6MdX8PyeTCHu4juiOzcRng/pUVI80QOF8XPo6aRp9hb2xgu7I+U5Zfnzt3HBPbOayqNct hmdb+OtSC6FBeCO6TSZlmWTG1mjG3apxwSORkZ6VPtL2uA/xZ4l1DxPcS30C3g09doa3MrNGr+/I Az9M1Mm56oDIvNPZIYFhntrp1t8hoOTFvY9ccDnj23Ck+bvoB0+h+Ntc8LWFvcSyi6spiVS1lfLI BjHf5R26Y9quMpR31Ao+MvFE3iDXPt9m1zEIljWKJ2/1Z4ORgjqeevpUznzNAW/EHiHxJqPhe0g1 CC4eKEgvdglFmVhgb1HB9fy+tOUpOOqsBzeitLHrmn+XKVP2uIjY2PlLqCMe/tWcPiQH0LXeIKAC gByru4B59KAJbaJnnUbeAec0gLLW1qrYMmD6Zo1Az6YBQAUAFABQAUAFABQA113Lj8aAGeU3Hz/W gAWMqrc4J4zQAJGVcE84HFAEtABQAUAFABQAUAFABQAUAFABQAhztOOvagDwzxOmoTeIJEurdm1H P3EjyZACdpUDrx3xXHUUnLVDOfhjmaYabFbzeekgUR4Lkqx6gAZY8joPeo5bu4F+7i1HT4Z7VhdQ QyOvmpMDEXOCehweM1Vml5AdQU8IzeHpYrCPULzVLiMICqnarjbuA9On8qtqCTS3A1fh3pVne+Jb y2utJkEdvaLG8dz8+2Tjk8cZHOKqC97VAdD4m0e00PXhqs1iJ9Ivoxa3SqmTb8YVl/HHTv8AUU5J RfM9gNnQrJtK8P3dtrN3a3GjxfPa3LuCDEeRntxxj/8AVVRVlZiPD9JX7X4us4oJA0BvVdWUffG/ I+nC1hFL2gz36uwQUAFABQBL9olCbA2BQBF1oAKACgAoAKACgAoAKACgBsm7YQvU8A+lAEQadTyM 5P4CgBfMkxkr+hoAcjuzEFcAe1AElABQAUAFABQAUAFABQAUAFABQAUAJgZzgZ9aAPG/iPZPp/jK K5spjbmeFZCE4O7LKWB2nB4X+dc1ZKLuNGHp0A17U5Y9U1S9sN6EtdSbpeewADKayik3eTA674fa 54c8JreXF1NdS3D/ACL5VqduwbRnAyck4ya1puKfmBc8Sarpt3d3Or6Bc65Z6hIQHFuDHHMwwMt3 P6jiiUlvG9wOrHj7wxqGkix1Nrl/NiEc6NaSEMSBnkD+VX7SNtRHAXniiwtfBeseF1mnuIInUWJd XVmjJyQxOMAY9e5xgYFRz6NX9BmD4GtfM8Y6ZG8ru0UjSY3tgDYcAjnHbvU0tZ3BnvNdYgoAKACg AoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgDj/iLp9jP4dkv riANcW42xSjqm4gHPqKzqr3QM3wprF5pnh+3l1bwvBPYjP8ApEUIZ1XrkgjJ+tZxbS1QzK+HGrWF l46u7maaG2tJLaVVLALhtyHBx7CppyXNqB7Pb63pV26pb6laSu3REmUsfwzmt7oRakhgJMkkcZIH LMo6fWmB89fEm6iu/GF4+nKrx7RHuQfxKMHBHbmuaprK/YaI/hwjDxvCTJ/yxbKEE5OOue+MmnR+ IGe355x3rqEFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFA BQAUAIyq67WUEHsRQAjIrwtER+7ZSpX1BoAr6f4U0Q6athJp8NzGu/5p1DMu484OKhQSVgKM/wAM NFTQzZ6cGt7xR+7vWJLg5zlsEZqfZqwCS+G/Gkto9ufF0YjKFf8AjyUnp68H9aFGXcDy2/1LSxd3 yrcrKSCmQrEBAeqj0PPT0rKTWwzrPDHhTZMl95EcMTqXjCnbkMG6gD6VrCFtRHY2djJbTB2dSoUj AJPJCZP5q351oBepgFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAB QAUAFABQAUAFAE1tL5Mwbt0NJgbBYBSxI2gZzSA4mf4hfNcPbaNezWMZZBdxLuG4e3Ws+fyA8Q0T w9qGr61HYSQ4uw7SypIojLLkE4z7c9O9ZxTcrjPoZEEaKijAUYArqELQAUAFABQAUAFABQAUAFAB QAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFACrgMM9M80AQ+JdaGhWH2m FPtMszCOG3/vsf6VEnZAVvBdg+g6HJFeNH508rTNFEPlTP8ADShFpagcL8Q9PbUfHFjLYyqLueER mFGAfgn5ifTB/T2qKid1YZ6BY232Owgti5cxIFLHvitkIsUwCgAoAKACgAoAKACgAoAKACgAoAKA CgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgDnta8VW1gDb2K/bdQc7Y4Izn5 vc9qiU0tFuAvhzRJ7R5tS1NhLqlycuw6IOwHbpj+XaiMbavcDoKsAoAKACgAoAKACgAoAKACgAoA KACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAa7pGheRlVByWY4AoA5nWfHWl6VK sMOb2U/eEDAhfx9fas5VIxdgMyx8d6nfq8VtoEk1wVDJtJVefUkcfmBUxqSfQZMtl4s8QMV1R49L tVkIMcDZZ1HQ5B7+5ptTlvoI6LSvD+m6Mp+yW4Eh+9K3LN9TVxio7AadUAUAFABQAUAFABQAUAf/ 2Q== datasetEPSG6.12(9.2.0)