我将如何概括多个相邻的多边形?

发布于 2024-07-13 09:25:55 字数 25134 浏览 8 评论 0原文

当您有一个带有 Geometry 类型字段(或 Geography)的表时,您可以调用 Reduce() 函数来减少形状的顶点数量。 效果非常好。 然而,当多个多边形相邻时(它们共享其边界的一部分),缩减的多边形不一定这样做。

示例

SQL 批处理:

CREATE TABLE #Shapes (
shape geometry,
naam varchar(50)
 )

-- exact:
insert into #Shapes (naam, shape) VALUES ('Area A',Geometry::STGeomFromText('POLYGON ((52.084744368912652 5.1304192959796637, 52.085234231548384 5.1304194002877921, 52.085474282948049 5.1304486630822, 52.0857341082301 5.1304792705923319, 52.086134375073016 5.1306082883384079, 52.086594087770209 5.13079824927263, 52.087194303050637 5.1311187236569822, 52.089074697112665 5.1323992793913931, 52.089834430487826 5.1333390253130347, 52.090353938518092 5.1341692635323852, 52.090254480473 5.1342997345712416, 52.090824429301414 5.13520842681262, 52.09141399711384 5.1360295349486274, 52.091884278226644 5.1365492835175246, 52.092085719574243 5.1367767199408263, 52.092194211203605 5.1368992186617106, 52.092494247804545 5.1372492032188495, 52.092884057915427 5.13754907634854, 52.093083867570385 5.137679290259257, 52.093254011290028 5.1378082139755827, 52.093554640188813 5.1380093733314425, 52.094204571098089 5.1384683684445918, 52.094214495038614 5.1384888619650155, 52.093702809136488 5.1390791568504124, 52.0939114689827 5.1395669728517532, 52.0938675517682 5.1396009074524045, 52.093849835848111 5.1396084928439114, 52.093797143315896 5.1396473892964423, 52.093789743114428 5.1396500989447063, 52.093731224210721 5.13969055645838, 52.093728204024956 5.1396938753314316, 52.093717452138662 5.1397007238119841, 52.09355255169794 5.139717671321705, 52.093311328208074 5.1395945930853486, 52.093306955655407 5.1395602072316251, 52.093115365831181 5.1400826557073742, 52.093052050564438 5.1401469679549336, 52.092979203676805 5.1401289247442037, 52.092756105586886 5.1398569964803755, 52.092737412561 5.1397823067194368, 52.09235419591127 5.1398883965623128, 52.092214386788811 5.1400686172528616, 52.092164272349919 5.1401695687556135, 52.09208471653983 5.1403786691371351, 52.0920239102561 5.1405293103307486, 52.091924546519294 5.1407297900877893, 52.091534494888037 5.1407990844454616, 52.091654436912947 5.1401591910829172, 52.091713753540262 5.1397284107361845, 52.091763769509271 5.1391488309018314, 52.091774359305148 5.1390583129178058, 52.09170373348757 5.1383788494901648, 52.0907391263172 5.1386201300192624, 52.090711282333359 5.1385075189173222, 52.090718721970916 5.1384486802853644, 52.090745792724192 5.1383893731981516, 52.090758387919244 5.1383728119598793, 52.090776969445869 5.1383237342815846, 52.090780415022657 5.1383173598065737, 52.090745287947357 5.1382717578671873, 52.090742629869759 5.1382662602414895, 52.090704807080328 5.1382211977615952, 52.0906867091544 5.1381677808240056, 52.090701617482885 5.1380081428639635, 52.090564404382455 5.138029116065514, 52.09062412660569 5.1386488282587379, 52.090704361908138 5.1396187201607972, 52.09069472597912 5.1397384563460946, 52.090674098813906 5.1398086878471076, 52.090624484543433 5.1397491229489587, 52.090589968811038 5.1397359627815975, 52.090441891923547 5.140045978827402, 52.090305342804641 5.1400443047750741, 52.0902322656475 5.139729289803654, 52.090199632104486 5.1394877941347659, 52.090188750764355 5.1393666968215257, 52.0902532400633 5.1393868076773792, 52.09003754449077 5.1387802169192582, 52.090024582457204 5.1386965749382565, 52.090020758565515 5.1386840578634292, 52.0900124781623 5.1386172670806785, 52.090003480669111 5.1385827830526978, 52.08999918546494 5.1385372205978728, 52.089985796017572 5.1384773049503565, 52.089996868744493 5.1384535257238895, 52.090046249330044 5.138385351980105, 52.090212456043091 5.1382693609882955, 52.090183896290647 5.1379786310671935, 52.090166853580648 5.1378115779987894, 52.0899735938292 5.137785307597369, 52.089885840192437 5.1377143466379493, 52.08985487697646 5.137671007309109, 52.089845903217793 5.1376524229999632, 52.089844238944352 5.1376464897766709, 52.089850628050044 5.1375868958421052, 52.089852778393364 5.137576853302618, 52.089863699774533 5.1374888862706634, 52.089867451693863 5.1373642447870225, 52.089883847394958 5.1373361134901643, 52.089941705111414 5.1372730266302824, 52.090002277167514 5.1372403032146394, 52.090108146462811 5.1372361269295483, 52.09006458793673 5.1368091938053615, 52.089683820260689 5.1369396857917309, 52.089193989204269 5.1364887236994123, 52.088854428613558 5.1373995044268668, 52.088474480202422 5.1383894786704332, 52.088474343996495 5.1383894337341189, 52.088464433038652 5.1383690948872287, 52.088414154422111 5.13834898790222, 52.088394471909851 5.1383694768883288, 52.0883943233639 5.1383694719988853, 52.08832395415709 5.1382487505018526, 52.087933741509914 5.1377592226490378, 52.087544413445592 5.1372594955892383, 52.087484167695806 5.1372292107739481, 52.087364645209163 5.1372284211684018, 52.0869538753575 5.1372190437554366, 52.085683952551335 5.1372596949804574, 52.085304662585258 5.137269108556211, 52.085084051657141 5.1370588609653955, 52.084904317976907 5.137469710316509, 52.084444417446747 5.1384497439414369, 52.084454428168293 5.1385195698547266, 52.084484005579725 5.1385092278942466, 52.084537888644263 5.1385357407853007, 52.084511198022149 5.1389506391238067, 52.084534639492631 5.1391157133039087, 52.084215438459069 5.139372929232195, 52.084103818604156 5.1389697602953825, 52.083964082412422 5.1391396226827055, 52.083963935496286 5.139139630831778, 52.083883681101725 5.1390291205607355, 52.083994359437455 5.1386593720505784, 52.084013982437057 5.1385892418004318, 52.084053878448593 5.1383293403318735, 52.084054407430678 5.1377297231794907, 52.084053982747719 5.1375283871311694, 52.084063940448686 5.1371387927792966, 52.084070490673184 5.13703247718513, 52.084070608951151 5.1370323959272355, 52.084217049471441 5.1370617711960529, 52.0842700656977 5.1370595147110754, 52.084318579515468 5.1370449147663777, 52.084365648221834 5.137017846536426, 52.084410294202549 5.1369791406907863, 52.084451525192954 5.1369308069453, 52.084497402298688 5.1368615722581685, 52.084511263761669 5.1368357082828879, 52.084539652187722 5.1367929205345337, 52.084559679031372 5.1367565956898034, 52.084580525973493 5.1367251129565776, 52.0845936126653 5.1367018828692963, 52.084593039704487 5.1366802926640958, 52.084593520236 5.1366613829106731, 52.084592797560617 5.136602794053033, 52.0845930285151 5.1365417347624449, 52.084591784281656 5.1365062294062227, 52.084592622431977 5.1364672367903337, 52.084591892315075 5.1364289335906506, 52.084595442516729 5.13633631542325, 52.084596794845957 5.1363224481129421, 52.084599652094766 5.13625919749029, 52.084600140111739 5.1362545876124468, 52.084603969780289 5.1361925578721053, 52.084604394622147 5.1361672168131918, 52.084607248043845 5.1361305358165161, 52.084609296828042 5.13606852098146, 52.084609103156254 5.1360535530839115, 52.084611643842678 5.1360064989442122, 52.08461217648793 5.1359452261162533, 52.084612038685009 5.1359415214974433, 52.084614087827504 5.1358594063203782, 52.084640604443848 5.1355516116600484, 52.084642857778817 5.135543460957706, 52.084982043160878 5.1354961035347806, 52.085083917947486 5.1345288194715977, 52.085104202153161 5.1343492493033409, 52.08524441709433 5.1330996853375064, 52.085165794240311 5.1330994283780456, 52.085158604676472 5.1330777355575146, 52.084887840552256 5.1328501671087, 52.084870130718066 5.1327825202649118, 52.084810143569484 5.132734818616882, 52.084766256157309 5.1326845148578286, 52.084753367166229 5.1326649976350005, 52.084720281418413 5.1326657184399664, 52.084673544857651 5.1326567681971937, 52.084627489326522 5.13263783371076, 52.084616634761915 5.1326309095602483, 52.084607382304966 5.1326056816615164, 52.084589018020779 5.1325388213153929, 52.084566780831665 5.1324195361230522, 52.08455663616769 5.1322953840717673, 52.084555578185245 5.1322289216332138, 52.084558193339035 5.1321669477038085, 52.084565328201279 5.1320932512171566, 52.084573237691075 5.1320388016756624, 52.084590001497418 5.1319514436181635, 52.084614846622571 5.1318454830907285, 52.084674907008818 5.1317076328407039, 52.084733415627852 5.1315451303962618, 52.084768428234277 5.1314570531469457, 52.084772500442341 5.131445026723668, 52.084790059469135 5.1313976899708305, 52.084790684864267 5.1313653332182225, 52.084789962507784 5.1313581170979887, 52.084786229995423 5.1313093374080232, 52.084781658835709 5.1312665985897183, 52.084776584757492 5.131205978570506, 52.084776126593319 5.1311985920700378, 52.084773858077824 5.1311737054493278, 52.084770929767942 5.1311195062007151, 52.084764682454988 5.1310441740788519, 52.084762406875207 5.1310067452953634, 52.084759807214141 5.1309909871779382, 52.084745739819482 5.1308908765204251, 52.084737451048568 5.1308199469931424, 52.084731393493712 5.1307550501078367, 52.084726219235463 5.130682019587562, 52.084717591805187 5.130595849588774, 52.084696356672794 5.1304316397290677, 52.084744368912652 5.1304192959796637))', 1) );
insert into #Shapes (naam,  shape) VALUES ('Area B', Geometry::STGeomFromText('POLYGON ((52.089193944586441 5.1364884474314749, 52.089683880347387 5.1369394774090678, 52.090064640389755 5.1368089618626982, 52.090064767515287 5.13680902402848, 52.090108351781964 5.1372362461406738, 52.0900023451254 5.137240494616317, 52.089941830607358 5.1372731845887953, 52.089884013120034 5.1373362265352416, 52.089867649300196 5.13736428650584, 52.089863897534087 5.1374888976570219, 52.089852973818779 5.1375768855214119, 52.089850827719964 5.1375869208953633, 52.08984444080243 5.1376464707614575, 52.089846089016071 5.1376523461555816, 52.089855048116348 5.13767090524721, 52.089885986401136 5.1377142074887443, 52.089973680692943 5.137785122508185, 52.090167043032125 5.1378114717081189, 52.090184094849974 5.1379786091856658, 52.090212659211829 5.138269433286041, 52.090046387117965 5.1383854977954284, 52.089997038751484 5.1384536319841185, 52.089986001565585 5.1384773087642488, 52.0899993844796 5.138537187827751, 52.090003677353721 5.1385827515141784, 52.0900126749184 5.1386172289494425, 52.090020956756526 5.1386840232833055, 52.0900247762911 5.1386965326964855, 52.090037737332914 5.1387801609122805, 52.090253500966355 5.1393869426101446, 52.090253373142332 5.1393870580941439, 52.09018895904866 5.1393668668649326, 52.09019982968524 5.1394877681651483, 52.090232462748588 5.1397292593531256, 52.090305473417473 5.1400441225035083, 52.090441768325739 5.1400458008552627, 52.0905898406636 5.1397357748355716, 52.090624607168138 5.1397489595692605, 52.090674059544682 5.1398083794509937, 52.090694529374325 5.1397384163970843, 52.090704163346672 5.1396187301667995, 52.0906239267189 5.1386488468750029, 52.090564216952771 5.1380289690569043, 52.090701825218275 5.138007998932153, 52.090686907175666 5.1381677433547006, 52.090704979235063 5.1382210930865915, 52.090742795495316 5.13826614478603, 52.090745454392028 5.1382716438933382, 52.090780634433031 5.138317345874384, 52.090777151606311 5.1383238151729582, 52.090758565347642 5.1383729032240808, 52.090745967798135 5.1383894728374937, 52.090718918413778 5.1384487237036574, 52.09071148235433 5.1385074989634694, 52.090739235906476 5.1386199161658359, 52.091703911079094 5.1383786785881966, 52.091774561209604 5.1390583219472319, 52.091763966455993 5.1391488551129392, 52.091713952366263 5.1397284283302724, 52.091654634801671 5.1401592225302011, 52.091534660555041 5.1407988700928273, 52.091924405223438 5.1407296329252166, 52.092023730557614 5.1405292234111544, 52.092084533682055 5.1403785903667165, 52.092164086876437 5.1401694919914007, 52.092214212752879 5.1400685210246593, 52.092354092746973 5.1398882211651653, 52.092737518250942 5.1397820895072073, 52.092756280866688 5.1398568955139261, 52.092979332917338 5.1401287692562034, 52.093051998862443 5.14014675848039, 52.093115186976668 5.1400825616937738, 52.093306944705546 5.1395597066730261, 52.093307103263214 5.139559774659574, 52.093311476645688 5.1395944439214718, 52.093552575019729 5.1397174675798443, 52.093717376162488 5.1397005364784905, 52.093728081547653 5.1396937158987059, 52.093731097411364 5.1396904007997364, 52.093789641978219 5.1396499255206436, 52.09379703433958 5.139647218074332, 52.093849730910733 5.139608321711421, 52.0938674450952 5.1396007388582916, 52.093911277158938 5.13956686834194, 52.093702596845105 5.1390791060402989, 52.094214342534542 5.1384887341409922, 52.094234085874632 5.1384696427267045, 52.094364419566851 5.1384893088412067, 52.094364145770669 5.1383595434017479, 52.094394268468022 5.1381287302356213, 52.09443390479516 5.138148912037261, 52.094484106955747 5.1381194878988437, 52.094514668919146 5.1380682252347469, 52.094674076435417 5.1382088991813486, 52.095094393635229 5.1384881954232995, 52.0952940530714 5.1385585838544232, 52.095604252303019 5.1385889891535044, 52.095554116032766 5.1386696371579523, 52.095534724403237 5.1388492132525849, 52.095524277190037 5.1390082753444624, 52.095594465266913 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5.144788873847574, 52.086584153570342 5.1431184258301306, 52.086113808001116 5.1425490758657, 52.085764196002856 5.142129332292825, 52.085273851326242 5.1414594290601263, 52.084604130359367 5.1405483337584883, 52.08448414108716 5.1403388837352395, 52.084363697096705 5.1399091542698443, 52.084215331124142 5.1393728284165263, 52.084534444796994 5.1391156225659822, 52.084510998101905 5.1389506384730339, 52.084537685041475 5.1385358115798789, 52.084483979582181 5.1385094355204064, 52.084454281721264 5.138519779080525, 52.084444217151031 5.1384497005492449, 52.084904137838336 5.1374696237373572, 52.08508396637626 5.1370586035773158, 52.085304709049147 5.1372689084542849, 52.085683944402767 5.1372594968589222, 52.08695387118496 5.1372188439127058, 52.087364651495307 5.1372282228088277, 52.087484228890389 5.137229019543156, 52.087544555542991 5.1372593543492258, 52.087933897256818 5.1377590987963755, 52.088324117939919 5.1382486345246434, 52.088394418613781 5.138369242607296, 52.088414155179635 5.1383487726561725, 52.0884645585902 5.1383689332287759, 52.0884744236222 5.1383891381781037, 52.088854240353591 5.1373994332191018, 52.089193944586441 5.1364884474314749))', 1) );
insert into #Shapes (naam,  shape) VALUES ('Area C', Geometry::STGeomFromText('POLYGON ((52.081104027922265 5.1258389879949391, 52.081314665614627 5.1259588550310582, 52.082414517994039 5.1266395719721913, 52.082954646321014 5.1270186660112813, 52.083513987367041 5.127549389610067, 52.083794155623764 5.1278395495610312, 52.084174386574887 5.1282589976908639, 52.084274505455781 5.1284189013796713, 52.08453426125925 5.1288288246141747, 52.085124507819643 5.1299386160409242, 52.08521465482071 5.1300693768952019, 52.0853342462746 5.1301182725468744, 52.0854241597699 5.1300988405710086, 52.0854743384989 5.1304488354362547, 52.085234220619661 5.130419600171515, 52.084744388967557 5.1304194940048324, 52.08439406089019 5.1305090384557843, 52.083914360133932 5.1306285039224422, 52.083414051565342 5.1307787221157923, 52.082813916262239 5.13094844610896, 52.082724283281529 5.1306586048111562, 52.082483787322417 5.1300093204481527, 52.08225411306649 5.1293789464909949, 52.082194455789093 5.1292188489812043, 52.082134172902443 5.1291885531973094, 52.082084508962 5.1290896165883169, 52.082023798371665 5.1288696515839547, 52.081883911043406 5.1281993770971894, 52.081856097793207 5.12798699515406, 52.081856237724423 5.1279869175050408, 52.082000762340613 5.1280515332473442, 52.082027135184035 5.1280940270517021, 52.0820355968099 5.1281161647869, 52.08205282002023 5.1281410993754166, 52.08213594150827 5.1278323108932256, 52.0820438895719 5.1277594091965328, 52.081953932996839 5.1277496579568833, 52.081884289887846 5.1271693162703134, 52.081813924670755 5.1270196131258938, 52.081552422139794 5.1268787173321471, 52.08152364961375 5.1267665265884057, 52.081485387952739 5.1266524291002371, 52.081442847483068 5.1265567842247837, 52.081396028901857 5.1264795880384764, 52.081344932177927 5.1264208389159505, 52.081293396464417 5.1263833287749234, 52.081279310281388 5.1263776289997622, 52.081249886541627 5.1263603481929749, 52.081222431567454 5.12633884719625, 52.081221418222412 5.1263384295161813, 52.081197269726545 5.126324187265709, 52.081195053295232 5.1263138890499249, 52.081184833077714 5.1262332251062617, 52.0811841667945 5.1261982778874859, 52.081168951815926 5.1261331316782162, 52.081164751928249 5.1260440781433525, 52.081066497950815 5.1259329431923106, 52.081104027922265 5.1258389879949391))', 1) );
insert into #Shapes (naam,  shape) VALUES ('Area D', Geometry::STGeomFromText('POLYGON ((52.084103860426694 5.1389694481622428, 52.084363892148971 5.1399091025981294, 52.084484331319835 5.1403388143996294, 52.084604299141489 5.1405482272725367, 52.08527401345782 5.1414593127556145, 52.085764355740025 5.1421292096101565, 52.086113962111995 5.1425489480607212, 52.086584335425869 5.1431183374952525, 52.087144145466013 5.1447888108543749, 52.087984736636635 5.1470895681108679, 52.088083857744529 5.1472290623707631, 52.088194406595086 5.14724888795369, 52.088323822820605 5.1472584035787792, 52.088524032849818 5.14715958177112, 52.088594117900357 5.1471285563893616, 52.08866433496587 5.1471486398950219, 52.088713997742161 5.1472490890882909, 52.088784678140655 5.1475289016962051, 52.088534413350153 5.1477695436890123, 52.088604030199349 5.1479895326774567, 52.08846407078854 5.1481186849763318, 52.088304384844378 5.1482683648355305, 52.087993860917578 5.1484991029959017, 52.087834112113342 5.1486196045298129, 52.0874739959836 5.1487791088875383, 52.087183827068657 5.1488594498950988, 52.087034655727216 5.1488792099405627, 52.086844170233235 5.1489094072021544, 52.086553779430687 5.1488890685141087, 52.086283983197063 5.1488190072122961, 52.086004210880986 5.148699401849246, 52.085884556407109 5.148648968199268, 52.085783737245947 5.148579464526847, 52.085444359574467 5.1483186569530517, 52.08505431888625 5.147909271530807, 52.085063869832084 5.14774867403321, 52.085103993769735 5.1475894195027649, 52.085123664481678 5.1475485048696683, 52.084903807879783 5.1472594002206034, 52.084644382136524 5.1469792136778958, 52.08418409107253 5.1464885615278035, 52.0837237383239 5.1459687419701368, 52.083234543621856 5.145409702023275, 52.082664410911732 5.1448292277490495, 52.082063829526305 5.1443087360821664, 52.082091124779964 5.1440836547198483, 52.081992223858833 5.1440890550147742, 52.08196270884946 5.14405638189055, 52.081944186007604 5.1439888756722212, 52.08194406144986 5.1439872064089114, 52.08192484639585 5.1439289392437786, 52.081920254660311 5.1439031759941996, 52.081906982464716 5.1438652367796749, 52.081898384261621 5.143827152704362, 52.081886463514792 5.1437939475605585, 52.081860758494884 5.143810536588699, 52.081833417158236 5.1438379039788957, 52.081759569933638 5.14407270308584, 52.0816137263635 5.1439596123534246, 52.081454453474372 5.1438598307431391, 52.081304313847795 5.14384896773845, 52.080264462672268 5.1430187125121805, 52.079664091113955 5.1425989381968975, 52.079524534521624 5.14249899610877, 52.079534315969795 5.1424492821097374, 52.079674492839317 5.1419992103874552, 52.079703816364884 5.1418385940623406, 52.079714205814525 5.141648898134008, 52.079727753764018 5.1414623958989978, 52.080252137147674 5.1417998058748831, 52.08029427562046 5.1417563394152745, 52.080314928898588 5.1417286938522011, 52.0803562682122 5.1416860464960337, 52.080404439009726 5.1416505186352879, 52.080450373701751 5.1416298456024379, 52.080458209152553 5.1416284950795994, 52.080495744477957 5.141600257018581, 52.080541761592031 5.141581037081778, 52.080577370766676 5.1415776146752092, 52.080586124956035 5.1415745182313319, 52.080565002281219 5.1411468000151217, 52.080635850084946 5.1411388639826328, 52.081214110314008 5.1410789246463136, 52.081586783519015 5.1409964717458934, 52.081614242866635 5.1412574960850179, 52.081570835318416 5.1413511682767421, 52.08156742547277 5.1413547724810877, 52.081523078051127 5.1414396720759816, 52.081520885843375 5.1414458907124478, 52.0815235725604 5.1414493722841144, 52.081564587075263 5.1415304632391781, 52.081586116692051 5.1416122366208583, 52.081591385416651 5.1417623861789625, 52.081744097638875 5.1417384068481624, 52.081754462670077 5.14239915706246, 52.081888611945665 5.1424242914485125, 52.081887235166505 5.1422738104593009, 52.081907565006986 5.1422072551213205, 52.081948822597042 5.1421398329548538, 52.081990273194968 5.1420943139491024, 52.082000561989844 5.1420720012392849, 52.082041298272088 5.1420040489174426, 52.08205503895892 5.1419854623652519, 52.082057312844228 5.1419532595345077, 52.082057383609936 5.141936854692176, 52.082061406905325 5.1418724298121266, 52.082061399472877 5.1418698709458113, 52.082065169426741 5.1418023992023132, 52.08206505025737 5.1417857583146542, 52.082067978335544 5.1417265709023923, 52.082068552136519 5.1417210444026873, 52.08207146529282 5.1416510321596576, 52.082074348499624 5.1415691960222105, 52.082074102712795 5.1415587870869786, 52.082077217031589 5.141500341455882, 52.082077142713729 5.1414836310842942, 52.082064611044075 5.1414689618560345, 52.08204338257201 5.1414488023146987, 52.0820095549712 5.1414023755017455, 52.08195383178483 5.1413428048418419, 52.0819458400365 5.1413370133377612, 52.081897551489291 5.141270585100548, 52.081845151958987 5.1412304241675884, 52.081783577566966 5.1409387167077512, 52.082063805446388 5.1408189585007031, 52.082534100375206 5.1404983382591407, 52.082604082068428 5.1404395992867649, 52.082693810134288 5.1403690781753832, 52.083284175475136 5.1398683352445742, 52.083963928950048 5.1391394941752653, 52.084103860426694 5.1389694481622428))', 1) );

select naam, shape, shape.Reduce(0.001) as reducedShape from #Shapes

drop table #Shapes

这将返回两组多边形。 首先是未约简集:

alt text

然后是约简集:

alt text

这些形状要简单得多,并且它们的粗略形状确实正确,但我想要的是仍然共享边框部分。 因此,它们必须以某种方式一起减少。

我认为你必须首先将它们分解成多段线(从边到边),然后减少线,然后再次将它们重新组装成多边形。 我不知道如何在 T-SQL 中做到这一点。

有任何想法吗?

编辑: 我已经接受了 alphadaogg 的回答。 目前的两个答案都不完全让我信服,但 alphadogg 确实付出了最大的努力,我真的很感谢任何想法的分享。 所以赏金就归他了。

如果我找到满意的方法,我会在稍后进行自我解答。

后续:我向 SqlServer Geo 团队的项目经理 Isaac Kunen 发送了电子邮件。 他的有用回复如下:

您的问题并不罕见,但是 这不是我们直接的事情 支持:这是一项操作 需要了解拓扑结构 你的数字,而我们没有 像这样的内置东西。 本质上,你不想存储 每个单独的多边形 邻里。 相反,你想要 存储代表部分的曲线 边界,并重用这些边界 对于多个多边形。 当你 概括,你概括共享的 边界和所有相关多边形 受到影响。

你可以自己构建这个——作为 您引用的帖子中的海报 提示——但这可能是真正的努力去做 所以。

我不知道第三方软件 你正在使用,但这是另一个 选项。 如果你不想要一个 成熟的 GIS,您可以使用 类似 Safe 的 FME 的软件包 软件 (http://www.safe.com)。 这 FME不做通用用途 拓扑,但我相信它已经足够了 做你想做的事情的功能 寻找。 看: http://www.safe.com/products/desktop/ under-the-hood.php#3b.

我希望这会有所帮助。

干杯,

-艾萨克

When you have a table with a Geometry type field (or Geography), you can call the Reduce() function to have the shapes reduced in number of vertices. Works very nicely. However, when sevral of the polygons are adjacent (they share parts of their borders), the reduced polygons do not necessarily do so.

Example

The SQL batch:

CREATE TABLE #Shapes (
shape geometry,
naam varchar(50)
 )

-- exact:
insert into #Shapes (naam, shape) VALUES ('Area A',Geometry::STGeomFromText('POLYGON ((52.084744368912652 5.1304192959796637, 52.085234231548384 5.1304194002877921, 52.085474282948049 5.1304486630822, 52.0857341082301 5.1304792705923319, 52.086134375073016 5.1306082883384079, 52.086594087770209 5.13079824927263, 52.087194303050637 5.1311187236569822, 52.089074697112665 5.1323992793913931, 52.089834430487826 5.1333390253130347, 52.090353938518092 5.1341692635323852, 52.090254480473 5.1342997345712416, 52.090824429301414 5.13520842681262, 52.09141399711384 5.1360295349486274, 52.091884278226644 5.1365492835175246, 52.092085719574243 5.1367767199408263, 52.092194211203605 5.1368992186617106, 52.092494247804545 5.1372492032188495, 52.092884057915427 5.13754907634854, 52.093083867570385 5.137679290259257, 52.093254011290028 5.1378082139755827, 52.093554640188813 5.1380093733314425, 52.094204571098089 5.1384683684445918, 52.094214495038614 5.1384888619650155, 52.093702809136488 5.1390791568504124, 52.0939114689827 5.1395669728517532, 52.0938675517682 5.1396009074524045, 52.093849835848111 5.1396084928439114, 52.093797143315896 5.1396473892964423, 52.093789743114428 5.1396500989447063, 52.093731224210721 5.13969055645838, 52.093728204024956 5.1396938753314316, 52.093717452138662 5.1397007238119841, 52.09355255169794 5.139717671321705, 52.093311328208074 5.1395945930853486, 52.093306955655407 5.1395602072316251, 52.093115365831181 5.1400826557073742, 52.093052050564438 5.1401469679549336, 52.092979203676805 5.1401289247442037, 52.092756105586886 5.1398569964803755, 52.092737412561 5.1397823067194368, 52.09235419591127 5.1398883965623128, 52.092214386788811 5.1400686172528616, 52.092164272349919 5.1401695687556135, 52.09208471653983 5.1403786691371351, 52.0920239102561 5.1405293103307486, 52.091924546519294 5.1407297900877893, 52.091534494888037 5.1407990844454616, 52.091654436912947 5.1401591910829172, 52.091713753540262 5.1397284107361845, 52.091763769509271 5.1391488309018314, 52.091774359305148 5.1390583129178058, 52.09170373348757 5.1383788494901648, 52.0907391263172 5.1386201300192624, 52.090711282333359 5.1385075189173222, 52.090718721970916 5.1384486802853644, 52.090745792724192 5.1383893731981516, 52.090758387919244 5.1383728119598793, 52.090776969445869 5.1383237342815846, 52.090780415022657 5.1383173598065737, 52.090745287947357 5.1382717578671873, 52.090742629869759 5.1382662602414895, 52.090704807080328 5.1382211977615952, 52.0906867091544 5.1381677808240056, 52.090701617482885 5.1380081428639635, 52.090564404382455 5.138029116065514, 52.09062412660569 5.1386488282587379, 52.090704361908138 5.1396187201607972, 52.09069472597912 5.1397384563460946, 52.090674098813906 5.1398086878471076, 52.090624484543433 5.1397491229489587, 52.090589968811038 5.1397359627815975, 52.090441891923547 5.140045978827402, 52.090305342804641 5.1400443047750741, 52.0902322656475 5.139729289803654, 52.090199632104486 5.1394877941347659, 52.090188750764355 5.1393666968215257, 52.0902532400633 5.1393868076773792, 52.09003754449077 5.1387802169192582, 52.090024582457204 5.1386965749382565, 52.090020758565515 5.1386840578634292, 52.0900124781623 5.1386172670806785, 52.090003480669111 5.1385827830526978, 52.08999918546494 5.1385372205978728, 52.089985796017572 5.1384773049503565, 52.089996868744493 5.1384535257238895, 52.090046249330044 5.138385351980105, 52.090212456043091 5.1382693609882955, 52.090183896290647 5.1379786310671935, 52.090166853580648 5.1378115779987894, 52.0899735938292 5.137785307597369, 52.089885840192437 5.1377143466379493, 52.08985487697646 5.137671007309109, 52.089845903217793 5.1376524229999632, 52.089844238944352 5.1376464897766709, 52.089850628050044 5.1375868958421052, 52.089852778393364 5.137576853302618, 52.089863699774533 5.1374888862706634, 52.089867451693863 5.1373642447870225, 52.089883847394958 5.1373361134901643, 52.089941705111414 5.1372730266302824, 52.090002277167514 5.1372403032146394, 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select naam, shape, shape.Reduce(0.001) as reducedShape from #Shapes

drop table #Shapes

This returns two sets of polygons. First the unreduced set:

alt text

Then the reduced set:

alt text

These shapes are much simpler and they do have the rough shape correct, but what I would want is to have the border-parts still shared. So they have to be reduced together, in a way.

I think you have to break them up into polylines first (from edge to edge), then Reduce the lines and then reassembling them to polygons again. I have no idea how to do this in T-SQL though.

Any ideas?

Edit:
I've accepted alphadaogg's answer. Both current answers weren't entirely covincing to me, but alphadogg has certainly put in the most effort and I really appreciate any sharing of thoughts. So the bounty goes to him.

I will follow-up with a self-answer later if I find a satisfying method.

Follow-up: I e-mailed with Isaac Kunen, Program Manager on the SqlServer Geo team. His helpfull response is below:

Your problem is not at all rare, but
it isn't something we directly
support: it's an operation that
requires knowledge of the topology of
your figures, and we don't have
anything like this built in.
Essentially, you don't want to store
separate polygons for each
neighborhood. Rather, you want to
store curves representing portions of
boundaries, and reuse these boundaries
for multiple polygons. When you
generalize, you generalize the shared
boundary, and all dependent polygons
are affected.

You could build this yourself---as the
posters in the thread you cite
hint---but it may be real effort to do
so.

I don't know the third-party software
you're using, but this is the other
option. If you don't want a
full-fledged GIS, you could use a
package like the FME from Safe
Software (http://www.safe.com). The
FME doesn't do general-purpose
topology, but I believe it has enough
functionality to do what you're
looking for. See:
http://www.safe.com/products/desktop/under-the-hood.php#3b.

I hope this helps.

Cheers,

-Isaac

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热血少△年 2024-07-20 09:25:55

我不确定您如何从形状中获取“共享”LineStrings。 其次,一旦您减少了形状的“子集”,因为您的端点可能会从原始位置移动,并且您将无法在减少后使它们匹配。

简而言之,我要做的基本上是使用布尔运算来处理简化的形状。

首先,执行您所做的操作,即创建一个缩减形状的临时表(称为#ReducedShapes)。

然后,我将创建第二个临时表并查找所有形状之间的重叠区域(使用 STIntersection)。 在此表中,我基本上有列 naam1naam2intsec,最后一列的类型为 shape。 类似于(未经测试):

INSERT INTO #IntSecs(naam1, naam2, intsec)
SELECT s1.naam, s2.naam, s1.naam.STIntersection(s2.naam)
FROM #ReducedShapes s1, #ReducedShapes s2 
WHERE s1.naam.STIntersection(s2.naam) IS NOT NULL

这将为您提供形状对重叠位置的列表。 事实上,每个重叠都有两行。 例如,如果 A 和 B 重叠,您将得到 和 。 我会通过并删除每次出现的两个中的一个。

最后,对于每个重叠,我会从 #ReducedShapes 表中仅从该对中的两个区域中的一个减去 (STDifference) 交集。 想象一下你有两个半重叠的正方形 A 和 B。 该操作将涉及 A.STDifference(B),这意味着您保留所有 B 和 A 的一半。我会将修改后的形状插入到第三个表中(例如 #ModifiedShapes)。

两个问题:
a)正如您从“橙色”和“蓝色”形状中看到的那样,它们并没有类似地减少,因此您将获得两种可能的减少之一,具体取决于您如何处理“获胜者”。
b) 问题的一个更复杂的形式是,根据初始形状的复杂性,您可能会在三个或更多区域之间出现重叠。 您必须根据您的特定需求确定自己的方式来确定哪种形状在该交叉点“获胜”。 目前尚不清楚是否存在限制。 可以像通过订购任意选择获胜者一样简单,也可以更复杂,因为准确性很重要。

不幸的是,上述概念没有解决差距问题。 这个有点复杂,我不 100% 确定如何解决它。 但是,如果您创建第三个表,从 #Shapes 中的所有原始形状中减去(再次STDifference)所有修改的形状#ModifiedShapes(当然,在实际减去之前测试重叠),您将在间隙中留下剩余的形状。 您需要聚合相邻的形状并指定“获胜颜色”,可能会将其与相关形状合并回来。

这个答案很长,我就这样吧。 我可能找错了树。 根据您的反馈/问题,我将添加到帖子中。

I'm not sure how you'd get the "shared" LineStrings from your shapes. Secondly, once you reduce a "subset" of the shape since your endpoints may move from the original and you will not be able to make them match up after reduction.

The nutshell of what I would do is basically use boolean operations to play with the reduced shapes.

First, do what you do, namely create a temporary table of reduced shapes (called #ReducedShapes).

Then, I would create a second temp table and find the areas of overlap (using STIntersection) between all shapes. In this table, I would basically have columns naam1, naam2 and intsec, the last one being of type shape. Something like (untested):

INSERT INTO #IntSecs(naam1, naam2, intsec)
SELECT s1.naam, s2.naam, s1.naam.STIntersection(s2.naam)
FROM #ReducedShapes s1, #ReducedShapes s2 
WHERE s1.naam.STIntersection(s2.naam) IS NOT NULL

This gets you a list of where pairs of shapes overlap. In fact, you have two rows for each overlap. For example, if A and B overlap you'd have and . I would make a pass and delete one of the two for each occurence.

Lastly, for each overlap, I would subtract (STDifference) the intersection from only one of the two regions in the pair from the #ReducedShapes table. Imagine you have two squares A and B, half-overlapping. The operation would involve A.STDifference(B) meaning you keep all of B and half of A. I would insert the modified shapes into a third table (say #ModifiedShapes).

Two problems:
a) as you can see from your "orange" and "blue" shapes, they did not reduce similarly, so you'll get one of two possible reductions depending on how you deal with who "wins".
b) a more complicated form of the problem is that, depending on the complexity of the initial shapes, you may get overlap between three or more regions. You'll have to determine your own way to establish which one shape "wins" in that intersection, based on your particular needs. It's not clear if there are constraints. Could be as simple as arbitrarily picking a winner by ordering, or more complicated since accuracy is important.

The above concept unfortunately does not address the issue of gaps. This one's a little more complicated and I am not 100% sure how to resolve it. But, if you create a third table that subtracts (STDifference again) all the modified shapes #ModifiedShapes from all the original shapes in #Shapes (testing for overlap before actually subtracting, of course), you'd be left with the remainder shapes in the gaps. You'd want to aggregate the adjoining shapes and assign a "winning color", possibly merging it back in with the related shape.

This answer is long and I will leave it like this. I may be barking up the wrong tree. Based on your feedback/questions, I would add to the post.

故事↓在人 2024-07-20 09:25:55

哇,这是一组非常酷的功能。

看看其他一些可用的方法,我想到了一些想法:

在未简化的形状上,使用 .STIntersects (返回布尔值)和 .STIntersection (返回形状)来找出两个形状是否存在以及在哪里存在相交。

对于两个相邻的地图区域,我假设 .STIntersection 应返回与两者接壤的线段。

然后,您可以减少这些线段并重新组装减少的形状。

Wow, that's a pretty cool set of features.

Taking a look at some of the other methods available, here are a few ideas that come to mind:

On the unreduced shapes, use .STIntersects (returns a boolean) and .STIntersection (returns a shape) to find out if and where two shapes intersect.

For two adjacent map regions, I would assume that .STIntersection should return the line segment that borders both.

Then you can reduce these line segments and re-assemble the reduced shapes.

琉璃梦幻 2024-07-20 09:25:55

艾萨克是对的,您可以将要素简化为线条,并将它们用作共享边界。

但他提到的软件 - FME - 有一个名为 Generalizer 的转换器,它可以根据您的意愿简化它们,同时仍将它们保留为多边形。 使用的选项称为“保留共享边界”。 您可以从[此处][1]下载 FME 并请求 14 天的评估许可证来试用。

Isaac is right that you could reduce the features to lines, and use them as shared boundaries.

But the software he mentions - FME - has a transformer called the Generalizer which will simplify them as you wish while still retaining them as polygons. The option to use is called 'Preserve Shared Boundaries'. You can download FME from [here][1] and request a 14-day eval license to try it out.

温馨耳语 2024-07-20 09:25:55

严格来说,这并不是您问题的答案,但如果您的最终目标是在浏览器中渲染地图,那么您应该研究 Mike Bostock 的 TopoJSON 项目。

在此处输入图像描述

TopoJSON 与 GeoJSON 一样,是一种 JavaScript 友好的空间文件格式。 与 GeoJSON 不同,TopoJSON 仅包含拓扑,因此共享边界仅表示一次。 这会导致 (a) 数据更加紧凑和 (b) 无缝简化。

这里有一个很好的介绍,包括用于推断拓扑的算法的实时可视化:http://bost。 ocks.org/mike/topology/

项目维基在这里:https://github.com/ mbostock/topojson

This isn't strictly speaking an answer to your question, but if your ultimate objective is to render maps in the browser, then you should look into Mike Bostock's TopoJSON project.

enter image description here

TopoJSON, like GeoJSON, is a javascript-friendly spatial file format. Unlike GeoJSON, TopoJSON contains just the topology so that shared borders are only represented once. This results in (a) more compact data and (b) seamless simplification.

There's a great introduction here, including live visualizations of the algorithm used to infer topology: http://bost.ocks.org/mike/topology/

The project wiki is here: https://github.com/mbostock/topojson

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