Point Selection

[map@…]

What steps will reproduce the problem?

Try to select a point at a scale of greater that 200m

What is the expected result?

Point selected.

What happens instead?

Entire way is selected.

Please provide any additional information below. Attach a screenshot if possible.

The points are also too small to see. Previous version was easier to use. This version looks nicer, but is frustrating.

Repository Root: http://josm.openstreetmap.de/svn
Build-Date: 2014-10-21 19:23:06
Last Changed Author: Don-vip
Revision: 7643
Repository UUID: 0c6e7542-c601-0410-84e7-c038aed88b3b
Relative URL: ^/trunk
URL: http://josm.openstreetmap.de/svn/trunk
Last Changed Date: 2014-10-21 21:19:16 +0200 (Tue, 21 Oct 2014)
Last Changed Rev: 7643

Identification: JOSM/1.5 (7643 en) Mac OS X 10.9.5
Memory Usage: 393 MB / 910 MB (180 MB allocated, but free)
Java version: 1.7.0_67, Oracle Corporation, Java HotSpot(TM) 64-Bit Server VM
VM arguments: [-Djava.library.path=/Applications/josm-macosx/JOSM.app/Contents/MacOS, -DLibraryDirectory=/Users/trent/Library, -DDocumentsDirectory=/Users/trent/Documents, -DApplicationSupportDirectory=/Users/trent/Library/Application Support, -DCachesDirectory=/Users/trent/Library/Caches, -DSandboxEnabled=false, -Dapple.laf.useScreenMenuBar=true, -Dcom.apple.macos.use-file-dialog-packages=true, -Dcom.apple.macos.useScreenMenuBar=true, -Dcom.apple.mrj.application.apple.menu.about.name=JOSM, -Dcom.apple.smallTabs=true]
Dataset consistency test: No problems found

Plugins:
- ImportImagePlugin (30738)
- geotools (30762)
- jts (30762)
- log4j (30762)
- utilsplugin2 (30762)

Last errors/warnings:
- E: Failed to locate image 'conflation.jar/data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABgAAAAYBAMAAAASWSDLAAAAAXNSR0IArs4c6QAAAAlwSFlzAAALEwAACxMBAJqcGAAAAAd0SU1FB9wEGRM5BGYwnKsAAAAYUExURQAAAD8/P99CHv///wAAAAAAAN9CHv///9oBiWgAAAAFdFJOUwAAAAB97N8LMAAAAAFiS0dEBxZhiOsAAACESURBVBjTddAxDsIwDIXhX6XZ4QZWKnGACjF36R5B3s6U3qBcnyEmKQPePunpyTYAUqLOEFdJi+OWOc3ZsS7YLEc2JEkAIREk1ZKQIEZvCwlKoRRzbLu2vYOOn1gbb7t0XMurYbq//6DHHgZnhmhAeFpftJ1gfhyoxhgzkL87HB5yeNUHG4QjVQSqSQUAAAAASUVORK5CYII='
- E: Failed to locate image 'TombPlugin.jar/data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABIAAAAUCAQAAAAqnqXBAAAAAnNCSVQICFXsRgQAAAAJcEhZcwAABLgAAAS4AcOmL8MAAAAZdEVYdFNvZnR3YXJlAHd3dy5pbmtzY2FwZS5vcmeb7jwaAAAAyUlEQVQoz2P4zwCDDKx8dSKP+T+J3eAMQoiCZRBKhM/mfnr/////O/89Pogtw6pIeF7N5/9wEPpRqA5DEXe87ft/CDX/f/zXfc8VgKKIQUHy3ZvP/9//f/P/xf8n/x/+v/v/5s3HUq8ZshjYEIqSGn7/RwPRUFeACCYGEPj/nwEdMEMoVhABUfTnDyO6IhYkCqaIgbCi379xWUcFk1iwOJz21iGb9Je8cMIMceKsw+9wRoYHICaHCPcvVEU/WH+w/f3L8I7hBwMDAErxpScqgGIzAAAAAElFTkSuQmCC'
- E: Failed to locate image 'DxfImport.jar/data:image/png;base64,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'
- E: Failed to locate image 'continuosDownload.jar/data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAAKQ2lDQ1BJQ0MgcHJvZmlsZQAAeNqdU3dYk/cWPt/3ZQ9WQtjwsZdsgQAiI6wIyBBZohCSAGGEEBJAxYWIClYUFRGcSFXEgtUKSJ2I4qAouGdBiohai1VcOO4f3Ke1fXrv7e371/u855zn/M55zw+AERImkeaiagA5UoU8Otgfj09IxMm9gAIVSOAEIBDmy8JnBcUAAPADeXh+dLA//AGvbwACAHDVLiQSx+H/g7pQJlcAIJEA4CIS5wsBkFIAyC5UyBQAyBgAsFOzZAoAlAAAbHl8QiIAqg0A7PRJPgUA2KmT3BcA2KIcqQgAjQEAmShHJAJAuwBgVYFSLALAwgCgrEAiLgTArgGAWbYyRwKAvQUAdo5YkA9AYACAmUIszAAgOAIAQx4TzQMgTAOgMNK/4KlfcIW4SAEAwMuVzZdL0jMUuJXQGnfy8ODiIeLCbLFCYRcpEGYJ5CKcl5sjE0jnA0zODAAAGvnRwf44P5Dn5uTh5mbnbO/0xaL+a/BvIj4h8d/+vIwCBAAQTs/v2l/l5dYDcMcBsHW/a6lbANpWAGjf+V0z2wmgWgrQevmLeTj8QB6eoVDIPB0cCgsL7SViob0w44s+/zPhb+CLfvb8QB7+23rwAHGaQJmtwKOD/XFhbnauUo7nywRCMW735yP+x4V//Y4p0eI0sVwsFYrxWIm4UCJNx3m5UpFEIcmV4hLpfzLxH5b9CZN3DQCshk/ATrYHtctswH7uAQKLDljSdgBAfvMtjBoLkQAQZzQyefcAAJO/+Y9AKwEAzZek4wAAvOgYXKiUF0zGCAAARKCBKrBBBwzBFKzADpzBHbzAFwJhBkRADCTAPBBCBuSAHAqhGJZBGVTAOtgEtbADGqARmuEQtMExOA3n4BJcgetwFwZgGJ7CGLyGCQRByAgTYSE6iBFijtgizggXmY4EImFINJKApCDpiBRRIsXIcqQCqUJqkV1II/ItchQ5jVxA+pDbyCAyivyKvEcxlIGyUQPUAnVAuagfGorGoHPRdDQPXYCWomvRGrQePYC2oqfRS+h1dAB9io5jgNExDmaM2WFcjIdFYIlYGibHFmPlWDVWjzVjHVg3dhUbwJ5h7wgkAouAE+wIXoQQwmyCkJBHWExYQ6gl7CO0EroIVwmDhDHCJyKTqE+0JXoS+cR4YjqxkFhGrCbuIR4hniVeJw4TX5NIJA7JkuROCiElkDJJC0lrSNtILaRTpD7SEGmcTCbrkG3J3uQIsoCsIJeRt5APkE+S+8nD5LcUOsWI4kwJoiRSpJQSSjVlP+UEpZ8yQpmgqlHNqZ7UCKqIOp9aSW2gdlAvU4epEzR1miXNmxZDy6Qto9XQmmlnafdoL+l0ugndgx5Fl9CX0mvoB+nn6YP0dwwNhg2Dx0hiKBlrGXsZpxi3GS+ZTKYF05eZyFQw1zIbmWeYD5hvVVgq9ip8FZHKEpU6lVaVfpXnqlRVc1U/1XmqC1SrVQ+rXlZ9pkZVs1DjqQnUFqvVqR1Vu6k2rs5Sd1KPUM9RX6O+X/2C+mMNsoaFRqCGSKNUY7fGGY0hFsYyZfFYQtZyVgPrLGuYTWJbsvnsTHYF+xt2L3tMU0NzqmasZpFmneZxzQEOxrHg8DnZnErOIc4NznstAy0/LbHWaq1mrX6tN9p62r7aYu1y7Rbt69rvdXCdQJ0snfU6bTr3dQm6NrpRuoW623XP6j7TY+t56Qn1yvUO6d3RR/Vt9KP1F+rv1u/RHzcwNAg2kBlsMThj8MyQY+hrmGm40fCE4agRy2i6kcRoo9FJoye4Ju6HZ+M1eBc+ZqxvHGKsNN5l3Gs8YWJpMtukxKTF5L4pzZRrmma60bTTdMzMyCzcrNisyeyOOdWca55hvtm82/yNhaVFnMVKizaLx5balnzLBZZNlvesmFY+VnlW9VbXrEnWXOss623WV2xQG1ebDJs6m8u2qK2brcR2m23fFOIUjynSKfVTbtox7PzsCuya7AbtOfZh9iX2bfbPHcwcEh3WO3Q7fHJ0dcx2bHC866ThNMOpxKnD6VdnG2ehc53zNRemS5DLEpd2lxdTbaeKp26fesuV5RruutK10/Wjm7ub3K3ZbdTdzD3Ffav7TS6bG8ldwz3vQfTw91jicczjnaebp8LzkOcvXnZeWV77vR5Ps5wmntYwbcjbxFvgvct7YDo+PWX6zukDPsY+Ap96n4e+pr4i3z2+I37Wfpl+B/ye+zv6y/2P+L/hefIW8U4FYAHBAeUBvYEagbMDawMfBJkEpQc1BY0FuwYvDD4VQgwJDVkfcpNvwBfyG/ljM9xnLJrRFcoInRVaG/owzCZMHtYRjobPCN8Qfm+m+UzpzLYIiOBHbIi4H2kZmRf5fRQpKjKqLupRtFN0cXT3LNas5Fn7Z72O8Y+pjLk722q2cnZnrGpsUmxj7Ju4gLiquIF4h/hF8ZcSdBMkCe2J5MTYxD2J43MC52yaM5zkmlSWdGOu5dyiuRfm6c7Lnnc8WTVZkHw4hZgSl7I/5YMgQlAvGE/lp25NHRPyhJuFT0W+oo2iUbG3uEo8kuadVpX2ON07fUP6aIZPRnXGMwlPUit5kRmSuSPzTVZE1t6sz9lx2S05lJyUnKNSDWmWtCvXMLcot09mKyuTDeR55m3KG5OHyvfkI/lz89sVbIVM0aO0Uq5QDhZML6greFsYW3i4SL1IWtQz32b+6vkjC4IWfL2QsFC4sLPYuHhZ8eAiv0W7FiOLUxd3LjFdUrpkeGnw0n3LaMuylv1Q4lhSVfJqedzyjlKD0qWlQyuCVzSVqZTJy26u9Fq5YxVhlWRV72qX1VtWfyoXlV+scKyorviwRrjm4ldOX9V89Xlt2treSrfK7etI66Trbqz3Wb+vSr1qQdXQhvANrRvxjeUbX21K3nShemr1js20zcrNAzVhNe1bzLas2/KhNqP2ep1/XctW/a2rt77ZJtrWv913e/MOgx0VO97vlOy8tSt4V2u9RX31btLugt2PGmIbur/mft24R3dPxZ6Pe6V7B/ZF7+tqdG9s3K+/v7IJbVI2jR5IOnDlm4Bv2pvtmne1cFoqDsJB5cEn36Z8e+NQ6KHOw9zDzd+Zf7f1COtIeSvSOr91rC2jbaA9ob3v6IyjnR1eHUe+t/9+7zHjY3XHNY9XnqCdKD3x+eSCk+OnZKeenU4/PdSZ3Hn3TPyZa11RXb1nQ8+ePxd07ky3X/fJ897nj13wvHD0Ivdi2yW3S609rj1HfnD94UivW2/rZffL7Vc8rnT0Tes70e/Tf/pqwNVz1/jXLl2feb3vxuwbt24m3Ry4Jbr1+Hb27Rd3Cu5M3F16j3iv/L7a/eoH+g/qf7T+sWXAbeD4YMBgz8NZD+8OCYee/pT/04fh0kfMR9UjRiONj50fHxsNGr3yZM6T4aeypxPPyn5W/3nrc6vn3/3i+0vPWPzY8Av5i8+/rnmp83Lvq6mvOscjxx+8znk98ab8rc7bfe+477rfx70fmSj8QP5Q89H6Y8en0E/3Pud8/vwv94Tz+4A5JREAAAAGYktHRAD/AP8A/6C9p5MAAAAJcEhZcwAADdYAAA3WAZBveZwAAAQlSURBVEjHtZRrbBRVGIafM7Ozl852t0uXtnYLCC0pS0tLF5SgIRrLD9JEIEoICTFGG4EgNDXeEmNME9CYqPWaChhFgiGYVEFNfzT8gKRKRVoQpRGhYimFQBsp1E53Ljsz/ujFrgXKJZ5kkjPfme973nm/c47gNsbyHV73RmsDihk59BRX/xv33A5ASBIfrW0lIIfR7Cv0p7oBeL2xmrwhMxPuEDCq3HUcnt29KG3txccabprruVvllqXfOeBulN8S4G6UXxdQX18fQDiHTMtYCEitbMHGosf4mQvmCTq0Jh7Jej5dhBB4hIKmeLuX7xiOLdXf9tfU1BgTAJatry+fV162ZMlDkhCC1j1bJlV43jjGy49vw7Ed3mvazILslSRPatVAwwSAz+urLCqa7U+lLJ74MhchSTe2b0R5Y/NuGtkNQEn0YSoLNnLgVHPlKCCtgoNTkpUVAQQr5tbekvK61XvIUrOpnF7N5sWfkRnKBOGWTuhBXV2dlLJSBU9/HRsr4ldUZKEA7jjl0nWVVxXVous64VAYy0rNGP1+7A9UVZ4RDGZaK+bWkqVm88aa/by5pomrqR5cnDHAn3rrBOXLCmqwHRvTNJAkiYDf72x9Z+u0NIDlyvFYLOasLn+Ve0MJth18CdNO8rd9Oc2av6yzGLbGjoOvEAvMoyjzQbLVaTi2jW07WKkUObl5tuy4xWkA4brxvNx7/JZl8uTcdzGHLPa1f0DMW4ZH+AAISFnMV1fx7dFPsJOwrKCGfLUYIUkoXi+GqWMYBjk5OT7hSvE0gM+nJKZGox5d19GSGs8lvuKXrh84dGYvUaUQRQSoCK6i5bf9nL3YwcoZr5Ebnkk0mkPA76e//wq6oaPrSaLZUUX2yBXpFlmpxaFQGG1I4/uWFgYHB9k8bw/fHN3O6b6fKA4spfPiSQ53NLMhvov7Zi9FUbz09l6i52IPST1Je1s72tAgkUgEO2U/kLaLXNeNBYNBunu6qEhUMCUyhUuXDdaVfsqHB55h+YL1fNe2k+o523F1Px2nfsV13bEHF+bEi8nICBKJZCMQ09MPmkA4jkNF+cKx0KyZs4fh6gAfH97EukXvU1W2dtLTrQ1puCPuiNHgxtpNb8Xy8l6QJTEhQVXVf5M1bSyWkZFBX19f2hzAcRz39O+dDZ/v3LVpfLX5ZQvvPx4OqVwb0BBC4FU8eL0ePLIHr2d4Ho8Xc+ZMJ/H4HI62HSeRKKe9/QQAiYoyjrQdo/vc+b5zf3SuB/aNv4tCo5NwSEUSAlmWkCUZIQlkSUJIAttxmFU4C13XKS2NYxgGpSXFuC7ohjGcH5kyFfCl9SAvP3+DaZpHrg2w6Gb+dl/onbQHxjCoCtg73qJHgSVAIZAxsoUVwAvII+9iXN8kwBm5qBwgBRhAEugCfgS+4P8e/wAQ76yRK35FXwAAAABJRU5ErkJggg=='
- E: org.openstreetmap.josm.io.OsmApiException: ResponseCode=400, Error Header=<The maximum bbox size is 0.25, and your request was too large. Either request a smaller area, or use planet.osm>

[Klumbumbus]

Greater than 200m scale untagged waynodes are hidden because usually you do not edit them at this zoom level. It is more important to select whole ways at this low zoom level which was often hard before because of the node clutter. Because the nodes are hidden you cannot select them. Tagged nodes however are always displayed.

If a node is displayed (either due to tags or higher zoom level) then the selection is as always. The radius where you can select a node has not changed! You can modify it in the advanced preferences with the key mappaint.node.snap-distance. The default value is 10.

Note that you can also restore the old display in the style settings, (but as already said, this does not effect the selection radius).

[stoecker]

Another thing: Can you please refresh the plugins list in preferences and see if the above "Failed to locate image" are gone afterwards?

Did you start a more recent version at least once? Otherwise I fail to understand why you get these messages.

[map@…]

I was able to solve the problem by switching back to an older version of JOSM. Having an option to select the zoom level that switches between the two modes would be helpful, or absent that, an option to simply switch back and forth between the older method, and the new. Thank you for your assistance taking the time to reply.

[bastiK]

There is an option to switch back, see Help/Dialog/MapPaint.