coastal gis: delivering spatial information for land use planning on minnesota's north shore...

8/9/2019 Coastal GIS: Delivering Spatial Information for Land Use Planning on Minnesota's North Shore (306-08-07)

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Minnesota's Lake Superior Coastal Program

CoastalGIS:Delivering Spatial Information for Land Use Planning

on Minnesota's North Shore

Final Report and Deliverables

George Host and Gerald SjervenNatural Resources Research Institu te

University of Minnesota DuluthDuluth MN

March 24, 2008

Project No. 306-08-07Contract No. A 78755

NRRI Technical Report NRRI/TR-2008/07

This project was funded in part through the Coastal Zone Management Act,

by NOAA's Office of Ocean and Coastal Resource Management,in cooperation with Minnesota's Lake Superior Coastal Program

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IntroductionCoastal GIS is a program to deliver geographic information to planners, decision makersand citizens of Lake Supelior's north shore. The project uses the Internet is the plimaryvehicle for information delivery - data and supporting materials are housed atwww.nrri.umn.edulcoasta lgis . D ata are delivered in two fOimats - as downloadableshape files for users with desktop GIS sy stems and via and Internet Map Server , whichallows users to access data using only a PC and standard web browsers.

This project comprised four specific tasks:

1) Add series ofllewly released local an d national GIS data setsThe project added a number of recent data sets related to land use/land cover. Theseincluded the 2002 National Land Cover dataset, a classification of land use and landcover at a 30 m pixel resolution, the Coastal Change Analysis Program (C-CAP)assessment of landscape change (also at 30 m resolution) and an NRRI forest landclassification that used multi temporal Landsat imagery to classify forests types to the

genus or species level.

2) Ad d high-resolution spatial data to townships within the Coastal Programboundary

The development of advanced data compression algorithms and improved map serversoftware allowed us to deliver high resolution data (the previous site delivered primarilylow-bandwidth line and polygon data). At the same time, a number of very highresolution data sets 2 m pixels resolution), such as the 2003 National AgriculturalImagery Program have become available. Other high-resolution data sets include theDigital Ortho Quarter Quads (grayscale or CIR rectified imagery) , topographic reliefmodels and scanned materials such as digital raster graphics. We now provide access to

these data sets via the Internet Map Selver.

3) Deliver data provided by the Minnesota Lake Superior Coastal ProgramThe Coastal Program has funded a number of GIS related projects that did not have aconvenient mechanism for delivery. We cooperated with Coastal Program staff toidentify and prioritize spatial data currently held by the Minnesota Lake Superior CoastalProgram to include in the data delivery system.

4) Develop an d implement training fo r citizens an d decision makers on ho t wouse the information located on the CoastalGIS website.

We conducted a series of training workshops and presentations for citizens and decision

makers. The intent of the workshops was to show citizens and decision makers why the sedata are important , how to access and analyze the data, and how to make meaningfulinterpretations of the re sults. Workshops were structured as hands-on computer lab s inwhich attendees worked with data relevant to their issues or locality.

The following sections summarize the accomplishments for each of the tasks.

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Work CompletedTask 1: Add series of newly-released data sets to the CoastalGIS website.

We added a series of spatial data and metadata for several broad categories of geographicdata, including the recent National Land Cover Data (NLCD) set, derived from 2002

LANDSAT imagery and released to the public in summer 2004. The data set classifiesland cover into 21 classes (e.g. low and high intensity residential, row crop , grasses,deciduous forest, woody and emergent wetlands, quanies, others) and is mapped at a 30m pixel resolution. These data are useful for quantifying the proportions ofland typeswithin watersheds, townships , or other kinds of summary units. A related data set isNOAA's Coastal Change Analysis Program (C-CAP) , which is a national baselinedescribing land cover change in coastal regions. C-CAP is available for 1995,2005 and a1995-2000 change data set. TIle intent of these data sets are to assess urban growth,changes to natural resources, and allow trend analysis for land use plarming; they arederived from analyses ofNLCD data.

We also added a Landsat TM based forest classification of northeastern Minnesota ,developed at the Natural Resources Research Institute (UMD) by Peter Wolter. Thisclassification is a more specific forest cover type classification for northeasternMinnesota. The classification is based on Landsat TM data from early summer inconjunction with key ancilliary MSS and TM dates to capture phenological changes ofdifferent tree species. In addition to satellite data, National Wetlands Inventory data wereused to post-classify cover types that were initially confused in tenns of spectralreflectance but were known to be associated with different soil moisture regimes. Theclassification discriminates different forest cover types, typically on a species-level. Ofgreatest significance, aspen-birch, maple, black ash, and tamarack were successfullycl assi fi ed.

All data from Task I are available at three spatial extents: the Coastal Program boundary ,the Lake Superior basin (catchment boundary), and by each of the 7 counties thatintersect the Coastal Program boundary. This strategy allows users to select the range ofdata they need to address a particular question.

The data are delivered as zipped downloadable ArcView shapefiles , according to thefollowing schema:

Horizontal Coordinate Scheme: UTMEllipsoid: GRS 1980

Horizontal Datum: NAD 83Units/Resolution : MetersUTM Zone: 15

All data have associated metadata created according to the Minnesota GeographicMetadata Guidelines; information on these guidelines can be found athttp :// www .gis.s ta le. mn.uslst dslmet ad ata.ht mA full listing of data is presented in Table I.

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Table I. Sununary of spatial databases compiled for the CoastalGIS project. Data can be downloaded at the Coastal boundary, Lake Superior watershed , andCounty-level map extents.

Transportation Hydrography Administrat ive Base maps Land CoverMajor Roads Watershed Basin s Geographic Names Counties Pre s enlement VegetationTownship Roads DNR 24K Lakes indian Reservations Coastal Program PLS Corners Presettlemenl VegetationCounty Roads DNR 24K Streams MN Conservation Reserve Boundary (polygon) LandSat-Based Land Use /Cover

City Streets National Wetlands Program Coastal Program (vector)Forest Roads lnventory Census 2000 MCD Population Boundary (line) LandSat-Based Land Use/CoverAll MnDOTRoads DLG Lakes and Wetlands Census 2000 Block Population Lake Superior Basin (ra,ter)Miscellaneou s Roads DLG Stream s Censu s 2000 Tract Population Quarter Quarter Quad Original Land Survey Bearing TreesRailroads County Well lodex MN 2002 Senate District s lodex Conunon Forest Inventory (ForeslPipelines FEMA Floodplain MN 2002 House Districts I :24 ,000 Quad Index Service)Airports MN 2002 Congressional I: 100,000 Quad Index Common Forest Inventory (State

Districts I :250,000 Quad Index Forest)Municipal Boundaries PLS Control Points Conunon For est Inventory (CountyNational Forest State Boundary Forest)State Forest C-CAP Great Lakes 2000 Land CoverState Park Boundaries C-CAP Great Lakes 1995 Land Co verState Parks C-CAP Great Lakes 1995-2000 LandScientific and Natural Areas Cover

Minnesota Land Cover Data Se lLandsat TM Forest Classification

Past Pro.iects Topography Ownership Public Land Survey Geology and Soils

Duluth Forest 30 Meter Digital Elevation DNR Land Ownership PLS Township Lake Superior Boundaryinventory Model GAP Stewardship PLS 40 Line Land Type AssociationsDuluth Area Wetlands 1:250,000 Scale Digital PLS Control Points Ecological SubsectionsInventory Elevation Model P LS Sections GeomorpbologyS e e: h ~ [ I 2; j . /w w w. n I T j. um P LS 40 Polygon STATSGO Soil Datan . e ! ! ul l i ! m ~ ta I G I S/ B a S t Q r Soils and Land Surfaceso i e ! t ~ ~, bl m l

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Task 2. Add high-resolution spatial data to townships within the Coastal Programboundary.

In addition to the 30 m data described in Task I , we developed Internet Map Serversessions that allow access to various high resolution data sources. These include color

aerial photographs from 2003 (Farm Service Administration), black and white DigitalOrtho Quarter Quads (DOQQs) from 1990, or I :24,000 topographic maps. Thesebackground data sets are used in many of the Coastal GIS IMS sessions, including theLake Superior Oblique Photoset, and Duluth Township Stonnwater Planning Tool. Thistask also included the implementation of a new javascript "Zoom To:" tool that allowsthe user to "zoom in" to (select) particular city or township. These IMS techniques arealso being used by the related LaiceSllperiorSlreams.org project, which allows a user togenerate maps by watershed:h tlp :llg isdat a.nrr i.um n.edu /we bsit elnort hshorestre amslv iewer .htm

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The Western Lake Superior Oblique Photo Set uses the high resolution datasets desclibedabove as a backdrop for viewing the Coastal Program's sequence of 35 mm photographsof the Lake Superior coastline from Duluth to the Canadian Border. The site c an beaccessed at hI tp :1Igi sd ala. nni .urn n. edulwebs i elnort hshorephotos /vi cwcr. htm

The oblique photos have been incorporated into the MN Beaches website(www.mnbeaches.org ).a G IS based application which is updated biweekly duringsummer to show beach closures based on fecal coliform counts along Minnesota's LakeSuperior coastline.

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Another project which wa s derived from CoastalGIS data sets was the Duluth Townshi pStonnwater Planning Too l. http: //www .boulderlake.org /s tormwa ter ims/ defau ll.hlml .

This tool provides residents of DuluthTownship the ability to view their parcelonline and begin to crea te a Land UsePennit Application. The users are able tomap additional features suc h as sheds,garages, or addi tions to the existingbuildings. Th e application provides theuser with infonnation on what watershedthey li ve in, the type and distance tonearest wetlands or streams, andinfonnation on required setbacks. Theusers llandowner can take the application

to the local pennitting office and beginthe process as an infonned landowner.

Land Usel Stormwater Planning Tools

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Task 3. Deliver data provided by the Minnesota Lake Superior Coastal Program

Over the years, the Coastal Program has funded a number of GIS

related projects that,while valuable, simply did not have a convenient mechanism for delivery, and thereforeremained relatively inaccessible. We received a series of data sets previously fundedthrough the Coastal Program and placed the data or links athttp :// www .nni .umll.edu /co astaIG IS/ pastprojects.htm l. These data sets include theoblique photos mentioned above, maps of impervious surface by watershed, data on theSuperior Hiking Trail, and several others,

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Task 4. Develop and implement training for citizens and decision makers on how to usethe infol1nation located on the Coastal GIS website.

In 2006 and 2007 we conducted a series of training sessions and presentations to a

diverse range of citizens and local goverrunent officials on the access and application ofspatial data layers offered through the CoastalGIS website. Th e primary audiences forthese workshops were local deci s ion makers and citizens from within the Mirule sota LakeSuperior Coastal Program boundary. The training sessions were hands-on comput erex.ercise s, with u ser s going on-line to view and analyze data through the Intel11et MapService. Th e pre sentations walked users through the vmious set s o f data available on thesite and demonstrated the use of the download utilities and Inte1l1et Map Server. Wefound that, with respect to spatial data layer s delivered as shapefile s , end users that wereint e re s ted in downloading data for use in ArcGIS typically had capabilities needed toanalyze and process these data sets.

Training sessions were held on-site in Duluth township and in the UMD Library'scomputer laboratory - in both ca ses we pal1nered with existing venues to capitali ze onfacilities and audience . The workshops introduced the CoastalGIS website in general , anddescribed specific element s within the administration. ownership, land cover, ba semapand other broad categories of the site. Th e laboratolie s de sclibed new capabilities weadded to Internet Map Server , such as hierarchical-organi zed data menus. We coveredbas ic navigation and use of common tools such as Identify and Measure. We also coveredless common uses of IMS, such as the Query function and the procedures for moving datainto an Excel workshcet. Training ses s ion s were typically followed by a Q and A periodthat discussed problems or concel11s with the site, and reconmlendation from the groupwere subsequently used to improve the site. We also had extended discussion s on how

end users can best use this in f o lmation, and what future additions would be desirablefrom a management per spective.

George Host conducted a hands-on training session in conjunction with the COSEE LakeSupelior Exploration Workshop in July 2006. The 15+ participants included citizenscienti s ts and educators both within and outside the Coa s tal Program region. Th e focuswa s on using data for decision making and education, and covered specifics of the dataset, exercises in data retrieval, and discussions on data interpretation.

FOlmer UMD Master's student John Gei ss ler conducted two training sessions in October2006 with Duluth town ship landown ers for using CoastalGIS data and the derivativestormwater planning

tool. His presentation desclibed CoastalGIS spatial data set s andhow infolmation on water s hed , soils, wetlands, topography and aerial photo s can b e usedinteractively with IMS map server to aid in land use planning . He ful1her de scribed theinteractive tool developed through Coastal GIS with additional funding through theCoa sta l Program's STAR grant and the University of Minne sota Duluth's Center forCommunity and Regional Research. A novel extension to the Intemet Map Server was autility to accept parcel ID numbers and use thi s ID to launch an IMS map view with datalayers specific to that parcel.

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Th ese o ri ginal training sess io ns for Coas ta lGIS and the parcel analysis too l have beco m ea regular co ur se off erin g throu gh th e Boulder Lake Environmental Learning Cente r at theUMD Librar y Computer Lab . Th e courses were offered Jan 9 , Feb 6, Oct 9 in 2007 a ndJan 30 , 200 8. Th e succ ess of th ese courses demonstrates there is a continu ing interest

am o ng citizens in the da ta and utiliti es from this project.

In addition to training sessions, we presented CoastalGIS at a number of profe ss ionalconferen ces, m eet ings a nd infonnal public workshops, as listed bel ow . Va lue s inparenth eses a re esti m ated number of attendee s.

Holl e nh orst, T. L. B. Johnson, G. E. H ost, V. Brady , J . Schuldt, J. Cib o rowsk i, a nd C.Richard s . Characterizing Lake Supelior coas tal wetlands usin g readily avai lab leG IS data. Lake Supelior Wetlands Confere nce, Dulu th , MN 2005 . (30)

Hos t, G. E. Presentati on o n Coasta lGI S to St. Louis County Co mmi ss ioners and

Extension Educator s. CE C meeting May 200 6. (12)

Meysembourg, P., G. Sjerven, and G. E. H ost. W e tl and inventory and classification forth e Coasta lGIS project. Lake S up e rior Wetlands Conf erence, Duluth , MN 2005.(35)

Sjerven, G. a nd G. E. Host. Coa s ta lGIS: Deli ve lin g spatial infonnati o n for land u seplallling on Minnesota's North Shore' a t the Makin g a Great Lake Supe ri o r 2007conference held in Duluth on October 29-31,2007 (20)

Sjerven, G. CoastalGI S: New infonnation for land use plarU1ing on Minnesota's N o rth

Shore at th e MN G IS/ U S Cons ortium 16th Aillual Co nf erence and Work shops,St. Cloud, MN , Octobe r 4-6 , 2006. (40)

Sjelven , G. Coasta lGlS: Delivering spatial infolmation for land use plallling onMinn esota's North Shore a t th e MN G IS/US Consortium 15th A IU1ualCo nf erence and Worksh ops, St. C lo ud , MN, October 3-5 , 2005. (50)

Sj erve n, G. Th e Coastal GIS project: GIS data for local decision s UM D TechFest 2005(40)

ResultsTh e deliverables from thi s proj ec t have already received broad use b y other end usen.,includin g the Minnesota Po llution Control Agency, the Reg io nal Stonnwater ProtectionTeam , the Minnesota Departm ent of Natural Resources, and the B o ulde r LakeE nviro tun ent al Learning Cent er. There are no doubt other group s of e nd u sers fro mcitizen, no n-p ro fits, LGUs and other gro up s that have used th e s ite reso ur ces - thefollow in g pa g es show some selected web selver statistics for CoastalG IS.

to


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eb Server Statistics for

NRRI - Coastal GISProgram started at Thu-27-Mar-2008 11:23 .Analysed requests from Wed-16-May-2007 03:59 to Thu-27-Mar-2008 13:50 (316.41 days).

General Summarl: ___(Go To: Top I General Summary I Month ly Report I Daily Summary I Hourly Summ ary I Domain Report IOrganisation Report I Search Word Report I Operaling Sys lem Report I Slatus Code Report I File TypeReport I Directory Report I Reques t Report )

17,is report contains overall statistics.

Figures in parentheses refer to the 7-day period ending 27-Mar-2008 11:23.

Successful requests : 44,529 (1,887)Average successful requests pe r day: 140 (269)Logftle lines without stalu s code: 1,872 (0)Successful request s for pages: 33,791 (1 ,582)Average successful requests for pages pe r day: 106 (225)Failed requests: 5,914 (234)Distinct me s requesled: 354 (121)Distinct hosts served: 2,927 (146)Unwanted logfile entries: 3,614,472

. _ _ . _. ' , . ' '. " _ ~ -: -:- --;.: . - = : _ . . . . _,T_ ' .~ , ' _ - " J -.'1, , , " ~ .

I I


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onthly Re ort(Go To : To p IGeneral Summary I Monthl y Report I Daily Summary I Hourly Summary IDo",ain Report IO rganisa tion Report ISearch Word Report IOpera ting System Report IStatus Code Report I Fi le TypeRepo rt ID irectory Report IRequest Repot1 )

This reporllis/s the activity in each month.

mODth ' reqs palesMay 20 07 : 1577 : lO82 iJu n 2 00 7 13577 i 2894 !J u l 2 007 ! 4427 ! 3441 iAu g 2007 i5832 i 4649 :Se p 200 7 13973 ! 3095

1,

O ct 2007 13562 [ 2458 ;No v 2 00 7 i 4224 ! 2887 !Dec 2007 : 2973 1 2362 1

,: ; ,

Ja n 2 008: 4420 I 3235 1Feb 2 008: 5635 1 4238 1Ma r 2008 i 4329 i 3450 1

Each uni t (. ) repre sents 150 requests for pages or part thereof.

Bu siest month: Aug 2007 (4,649 requests for pages).

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Search Word R e ~ o r t(Go To : Top I General Summary I Month ly Report I Da ily S ummary I Hourly SUlllmary I Domain Reporl lOrganisation Reporl ISearch Word Reporll Operating Sy stem Report I Status Code Report I File TypeReport I Directory Repon l Request Report )

This report lists which words people used in searc h engines 10 find the site.

is minnesota oastal rp and mn urve!:j f apdata Other

The wedges are plotted b ~ the nu.ber of requests.

Listing the top 30 query words by the number of requests, sorted by the number of requests.

regs _sea rch term268 ' gis

!

181 milmesota142 coastal140 crp116 land95 nUl80 survey66 of58 map55 data52 lake46 in44 county44 control38 program33 superior31 forest30 zone29 and29 gap

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rc s search term29 conservation

28 stale27 metadata26 the26 pIs25 topography25 section24 for23 points22 native

2236 [not list ed: 839 search terms]

e uestRe ort(Go To: Top I Genem l Summary I Monthly Report I Da ily Summary I Hourly Summary I Domain Report IOrgani sation Report I Search Word Report I Operal ing Sys tem Report I S tR IUS Code Rep o rt I File TypeReport I Dire c tor y Report I Request Report)

Thi s r epor t / i s Is th e fi l es on/lie site.

. . !coa.talgi.!defaul t . hh l

. . !coastalgis!datainde x.ht . l

. . !coastalgis!sum . r ~ . h t m l

. . !coastalgls!imsprimer.html. . !coa.talgis!notju.tforexperts.pdf

. . !coastalgis!plannlng_primer.pdf

. . !coastalgi.!deci.ion_.upport_materials.html

. . !coa stalgi.!.ltemap.html

. . !coastalgislresource s .html!coastalgislaboutus.htmlOther

The wedge. are plotted b ~ the number of regue s ts .

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Lisling files wilh aliea Sl400 requesls , so rted by Ihe number of requesls.

reqs %b)1es last time file2830 I I 2 7/M arlO8 13:21 ' /~ d e f a n l t.h b : n l1 3 ~ 6 I I 27/Mari08 12:26 lcoastalgisldataindex .hb:nl112 1 1 ' 261Ma r /08 2 3:0 7 IcoastalgislS1llJlUlaf}'.h1ml

990 ! I 26/Mar /0S 20: 15 i lc o a s t a l ~ m s p r i m e r.h b : n l97 0 i 25/Marl 0S 17:19 ! /coastalgislnotjustforexperts .pd f878 1 261lviar l08 22:3 7 'I !Coastalgi"planningyrimer .pd f7 68 , 26 1111arl08 10:08 Icoastalgisldecision _ supporUnaieriaIs.hlml756 1 27 /111arl08 13:17 '1/ C O a s t a l g i s l s ~ e r n a p . h l m l

74 1 : 2-6/Mar /0821:51 1/coastalgislresources .hlml~, 4 1 09 11 26IMarJ08 04:06 1/coastalgislaboutus.hlml

26.lMar 108 18: 15 Icoastalgislfaq.hlml711 26 /111arl08 19:39 I c o a s t a l ~ o n a g e s l i n d e X ! m a i n _ r l _c 4. j p g

699 i 25iMar !0820:2 7 Icoastalgis ronages/mdex 1main_'4_c2_2.jpg689 i 271Mar i0807: 10 Icoastalgisimetadataibdry _"'P97py3.h1m1605 i 27IMar /0804:06 Icoastalgisimetada!alpls _comerptJ.hImI585 i 27IMar l 08 04 :57 /coastalgisfonages /bigtab .gif583 I 27lMarJOS 04 :57 Icoastalgisipastprojects hImI582 ' 27 /M", ;l08 04:5 7 Jcoastalgis limag . . ; w~ e t a b . g i f576 1 27 .lMar /OS 08:11 Icoastalgislmetadataladm_majlndpy2.h1m1544 i 27/Mar iOS 04:36 Icoastalgis/lopography.bbnl543 j 25/lv1ar lOS 18:03 Icoastalgislpls.hlml540 I 27IMar J0803:15 lcoastalgisllandcover.hlml539 1 26.lMar108 14:06 lcoastalgislownership.hlml536 ! 26!lI1ar iOS 0 1:44 Icoastalgislbasernaps.hlml534 1 26 /Ma r iOS 17:16 Icoastalgislhydrograpby.h1ml521 i 271lv/ar /08 13:50 Icoastalgisfotber.h1ml515 \ 26/lv1ar/OS 21:01 Icoastalgisladministr.llive.hlml507 271M arJ08 06:15 Icoastalgislmetadaialbdry _ statepy2.h1m149 9 27IMar fOS 11:55 Icoastalgisigeology>oiIs .blml478 271M ar /0807:09 IcoastalgisImetadatalbdry_reserpy 3 .hbnl478 261MarJ0821:14 lcoastalgisfl!llpOrtance.hlml47 6

1

27 1Mar J08 l3:12 lcoastalgisloverview .hb:nl473 27Ilvfar !0800:50 Icoastalgislcoastalw etlandsfc.oastalwetlands.hlm46 2 1 26IN/ar 108 01 :41 Ic.oastalgislrransportalio.o..btml4 57 1 27IMar JOS 06:34 Icoastalgislmetada!alforsu:salpy3.h1m145 0 I 27/Mar/0807:10 Icoastalgisimetadatalcenl _stprkpt1.h1mI445 ! 27IMar/OS 06 :34 Icoastalgislmetadataiforsl _ csacpy3.h1m144 4 ' 27 !Mar /OS 06:34 Ic.oastalgislmetadata/soil_cumgrpy1.h1ml44 0 I 27/Mar /0806:35 Ic.oastalgislmetadalalforst _csaspy3 .b1ml434 271Mar i0806:51 IcoastalgisicoastalwetlandslpopW+river/htmlfllltro.htm433 i 27/lv1ar i08 0 i :10 Icoastalgisimetadatatbdr y - traOOpy2.h1m1

;421 27IMarJOS 08:30 Icoastalgisfc.oastalwetlandsibMver+rerfhb:nllbeaverriver .hlm428 , 27lMar i0 8 10:46 Icoastalgisfcoastaiwetlandsfgrand+maraistDtmIIgrandmarais .blm424 \ 27/lv1arf08 1 1:26 Icoastalgis /c.oastalwetlandsl two+barborslh!ml/twobarbors.h1m420 , 25IMar i OS 19:4 0 !co astalgistlakesnemo.pdf

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Th e server report shows that the site receives a large volume of traffic distributed fairlyevenly across the year. Th e top sea rch items include. a s ex pec ted. GIS, Minnesota , andcoastal. but also the Data Inde x (#2) and the lMS Primer (#4), indicating that the sitereally is being used as a data resource.

ConclusionsCoastalGlS has become a comprehensive repo si tory for downloadable and interactivespatial data within the Minnesota Coastal Program Boundary, adjacent watersheds, andsunounding counties. It has provided a home for fundamental data sets for the coastalwatershed s at both moderate and high resolutions, as well as for hi s toric GIS projectsfunded through the Coastal Program. CoastalGlS ha s become an impoliant element ofother data intensive initiative s, including LakeSlIpen:orSlreams. org andMil1l'1eso/aBeaches.org.

Through funding from EPA's Great Lakes National Program Office, we are creatinglarger data repository for ba s ic data and envirolU11 e ntai stressors for US and Canadian

Lake Superior watersheds. The CoastalGlS de sign will be used as a template for thislarger initiati ve. Because of the interest of thi s and other projects, we fully expect thatCoastal GIS will continue to remain an active and sustainable repo sitory for spatial datafor assisting in land use decisions and plaMing for U1e region.

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coastal gis: delivering spatial information for land use planning on minnesota's north shore...

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