Differences
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tutorials:layermod:2dint [2020/01/15 09:36] – created gs3d | tutorials:layermod:2dint [2020/03/25 11:11] (current) – removed gs3d |
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====== 2D Interpolation ====== | |
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This tutorial will show how to interpolate point data to a 2D Grid Surface using Inverse Distance Weighting. | |
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==== Requirements ==== | |
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=== Modul === | |
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Editor Version Only | |
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=== Data === | |
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You can use any project that contains XYZ points, e.g., the project you created in the Tutorial "[[:tutorials:adddata:xyz|Adding XYZ Points]]". | |
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==== Step 1: Preparations ==== | |
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1. Open your project\\ | |
{{:tutorials:layermod:8bc6d00d2b96150b9071c44ccffca1a6.png}} | |
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==== Step 2: Interpolate ==== | |
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1. Right click the "XYZ Points" node in the Object Manager and select "Interpolate..." to open the "Interpolation Wizard".\\ | |
2. In the "Algorithm" page select the 2D "Inverse Distance Weighting" algorithm.\\ | |
{{:tutorials:layermod:6c7b18c08fb601241fba74dc1a01e01d.png}}\\ | |
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3. Go to the "Source Data" page. Press the "Get Data" button. Check the "Point Elevation" radio button and press "OK"\\ | |
4. Go to the "Settings" page. Check that the "Exponent" is set to 2.\\ | |
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poOGCHulc81bKKNF0lOzG3NWVLkax3s736GOv0fTg2aGq1J0PRVZjElKlTmTJ5MnJycsgtWEFU7t0rtNceZ52eN0drvt+J3FyUhM4UOeTk5DDy2TP4Z6CIKAM30ssbuXosGX/reC4DcJkEY2dSC9roa75MpKEccipuZBzag5vhPKZMnc5S7Q1cAPrLdmNo7UjCeVEfFAgEj47KykqUlJSwtLKiv//bs7tjY2OZOGkSubm5D0znPkb4GOjLwmGsEutzmh/vdf4raOBEtDuqluEU1j346Kee+hICTRZi5pf24+d5CgQCwX3Iz8/HycnpB0eHRkVFkZiY+MB0npARHsPiPXkCDtc8+FgBNBWRuGM7ORWPct7i8NBXfZb4jWFkXhdzCAUCwdPJkzHCgToK9x+ntPbZ/7ALBAKB4L8LhSdihAKBQCAQPKUIIxQIBALBc40wQoFAIBA81ygo6yJxcXEZ7nwIBAKBQDAsKCzVRWJubo63lw8uqz1xdfQSeobkstoTTzcfMjIyhvtdEggEgmcShaW6SFSU1ZD8UsIH8r9mxLRfM2Kq0LOikbN+w+9elaC8VHW43yWBQCB4JlFYqotEebE6/x75IjY7PsNi86dYpAg9K7Lb/Tlfar7E8mV6w/0uCQQCwTOJrEa4RJ1/vv97TBI+xjDqIww3CD0rMksaw+fKL6KlKYxQIBAIfgwKS3WEET7LEkYoEAgEPw1hhM+4hBEKBALBT0MY4TMuYYQCgUDw03hoI9QKe5tlIa8LPSHpR3z4k4ywPn8HLpZmGBlIkUqlGJuvJujIjSG/IDdORuNub4+TzyZK7omiVJOXhI+DPfZucZxtuBv+5NrxJDxXrWKV81YudvT96BdTIBAInhRDNMKP0Y/4kGUhr5Ga60/u5T1CT0i2iZPRDHnj4Y2wu5H0oMV8/e4f+NU/PsPIwx9/f38WfyBBMmImey4P7QXJ9hqDRCJB8lt5tlTf3X4uZBq/lUiQSL4k+srd7YdWT5IdL5nLtnqxyLpAIHj6GZIRLgt5jQ2ZVlyqPEX/QP+DUxU8Mm7eKuXU5b1II0diEDlqyEbYeDqCr34lQfI/b2Gw+a5TdV8/yCYfXbxO3hO/a6CXjrZWWlvb6Oy5W4vr7+3iqPc3vCyR8JtXFEkqbaW1tZ2OjnbyQufyyi8kSP4wlciCRtm53b00VpznRGYmmccu0NA7AAP99PX20tsnS6+9rY3Onl76vvcaDdDX20V7ayutbR109fTS29tLf/89+eztoaujjdbWVlrbO+npFe+iQCD46TzQCA0iR6Md9g7p52KHO6/PLR1dzdgkyiG9TzPp/Y2wn6sbtfmZRILkT59hvrmYls57TaOD5i6APlrrMnGc/w0ffDKWcZ9/zLvvfY5WxClau6HyoCcKH7zELyUSfv7Cn3l3zDjGjdNAX1+LeZP/xAs/kyD55cu89dHnjBs3G/vYExzfac/00aMZo7mBmwxQdSIEhdde47XPNDA1U2XhzE9479U3+GKmN6fbegAY6GrhaOBiPnr9bUaPG8fnn37Ee2+8xmuvTcVj9yWgl/qiRJa//RZvffgJ48aNY+zod5holcD1tif3HAQCwX8nDzTCZSFvsP7gSvr6e4Y7r88tAwMDlNzMRif8PQwiRw/JCMtTV/CCRIJE8nP+59f/j09VndmTc5rTZ89xa7CS1VW0GZUxv+Hnv5vE2hNXqK48isWYF5D84g001h6lvauVox4TeFki4df/mEtcUR11dY00NTVyMmg2//iFBMkfJhOaW0VdXQMt7d0c8ZrNHyQSJGNWU8oA5Qec+FAiQSL5LbOdt3HpZg4mr/8cieRFptodBDo44DqP//u5hJ//bTl7q+q4cjSIKS9KkEjewDzlAq2VScj/7/8g+dnfUUu4RFdHC+X7fLAK3UJp03A8EYFA8N+EwpIHGuHrRGVaD3c+ZfQ1cP7sBSoaOh9dmu03yT99mVudT/fAjrLawocwQuioO46r3ChekkgG++wG9bNfs8BjP3WtPWR4LeIliYR3TVNoHzyvfJMuv5FI+MtUE3I7oDR8Cn+USPjNv5awu+5u+heiFvGvX0iQvDyLpOt3tx9fo8jfJBL+5wtXLjNARYY7n0okSF6eQlDWLQC2r/grEomEj5WSaek4yvLPX0QikTDVKwuAzvMJKP6fBInkA2y3lXJhhxa/k0iQ/PlNVqzby6nS5sdZ1AKB4DljSEa44ZDl8OSuv4GTKaHEZlymH6DzKCs1bIk9UvEjEhug+XouW3YU0kMz53OyyS1ugNptqCz04OTNjkec+UfL5er8hzJCANovscnFFFNTU1Qn/uuuGb70BraxBwlSewuJRMJrXy7A2NYWW1trdOaMlB0zQok9N+Fy+FSZEf5Tie2Vd5MuilzAP38hQfKyPAmXe+9s/2EjnErQSZmTbjH6KxLJzxmrupUbVTtY/OHPkEj+hNm2awA05scw7+8yI7TZWkpNSTCf/fyumf/pgznY+Puz52wVvQgEAsFP46k2wp6qPcx/9y2+UFxNcR/QfRJbfWeSTtz8Uel1VRWSduAC/ZQR7mCHS9wVGDiEnoY/Z2492rw/an6UEd5L1Qk22Sny199KkPzqVWbbrydE810kEgmvf6WEmYMDDg4OOLl6ERgUTPjWTCraIT9womywzD8Xs6PqbnKF6+fxys8lSF6eycYrQzHCKaw9UQvAFsP7GeEfMd1SBkDT2dtGOALLlPNAK6fiInExnc3f76ndviTnTF5D96MuaoFA8JzxVBvhlV22LJS6sUpTDv+z/TCQja2+C5tza+i5sQeTOTOYPn0G8vNM2Xj6FvTl46M5n+nTp6Ntu4dWajiQvJNAeylSTRuSD6eRsP0MZSWbWT7mTd4e+SVa1vrMU/TCZ5UC06dPZ6lVMJfqa9geG4G9tiJL1JRZn3aENcrTWboqjJJhGpzxUEbY20bJvkC2Fn+nvnQ5knf+IEHyy1ex3JxFmqM8EomEEcbJ/NBtlcar8eefSXjhlUXfahqt3L6C134tQfKH6UNuGv2uEX6qnEJr5zG0Pn8JiUSCWtQlANqL4pk/aIQWyYXcbbRuomD/Tny05PijRILkFVV2lYnRMgKB4Kcx5+k1wmoSVxqyKe88O/31me95CsjHwdCDxEOp+CnJoe+5j8zMJIxVpLgk7ybBYg7qxpEcTNuCuf5yHLalEak9kYmKdqRln6XgoD9KyzdS33waH71laNnEkpMTyeIxn7MiaDeZBxMw1NTGakMcdgvmo2MTykb3Jbw/0ZhNKevRUtHAfMulYSiLhzTC/k6OuX/Fy6+PR2dDNtXV1VRX5xE460N+/j8v8KaiN6XtPbQXJrPk85d54fd/RiMwk6vV1VRXV3N6izPWVk7ktUHfmbW8/ycJkp//A8Ok81RX19LU1k3/uSi++NfPkEheQiMyb3B7F4e9Zsv6JT/5zmCZFybgd6wGgE06sj7BD+ZE00ITyfpy/FYi4XcTncirrubcThc+f2GwRrjpPKVHPTAP28e1ukbaW0sIUB/NL3/2KyZZb6GiW0yhEAgEP42n1wjLt7JEfgVJx4+wycuAmZOcKW0rxtPUg6j1Ligt8+dcF0AtCT6+BKz1ZYXUnT3Fsknc2cGr0VqwEgv31fgmXQSgPns9arqb6KKceB8v/LaUQ18GukscOVIN0MzWQC8cPdawysKDLbm1tJTEslg9mg6qiXdbjV3Y6SdfFjx802h7RSYWk/7FGx+MYfz48Ywf/ykj3nidBZ57qGy7Xcfqp6P5POs1pvHBBx/z+fjxjB8/nk9HvctETRfy24D+TnIidBj57puMGP0Z48cr4JyQT39/FxcSTfns/Td4b9SnjB8/G4fYExzZYsGEN9/kXaV1XGeAqpOhzHvzTd78WJ3Y0w0A7HP6nDfffJu5hinUAAPd14hZPod333qfT8dPZuo30/jo3xIkPx+Nw44yyjLtGT/mI1n+xo3hwxEj0XDfJkxQIBA8Ep5aIyyLU2f0qNF8JSeH3Def8tbXKkQeycDPdg0b/C2ZqOhBYT9AE8l+fgSErsVUw5TEPNmI0qNrrVBXs8XB25fQbaUAVJ4MR10vhU7KWG9hg2v8VeAoBssCOVXbB1SRErgGT29/Vq3yZ3vODeqKYlkuTaGDq8S6O+Mamf/EywJ+ZB/hQB89XR20t7fT3t5Bd+8Pj4zt7eqko72d9vZ2Ojq76b13IjvQ399Hd1eHLJ2euwY00H/7Gh109/QxwAD9/f13J8IP3P7dz8CdTf13jhkAOusuUVpZfyfNykwfxv5KguRtZVIvdcLAAL3dt/Mnu45AIBA8Kp5OI+y+hKfyDFy3lSD7dlYTbaOPmvYKNA29STqUQZL2UuYbe+Kzxo7Fs5bjueMY6QGqzJ9niqfLKpSW6LHueAYh5ja4bywG4MaRQOYrR9FMA4dcVjBn+nJ841Yze5YnOTX9wE3iPJywd3THxNiVpGPXqc4PY4FyLG1cJmyVFTbBp55sWQzykwfLPMWcD5vFqPFfY+buh5+fKxpf/Ytf/W0sK9fvpVIMCxUIBI+Zp9MIOy+xa3sWZXdGBA5wI+cQB+I3kbgnl8tVXdB4Ch8XB+zN1RkzYQ6Wu6qBSrZ4WmFoaIR35GkGaCEnPZOs87LaRkt5Htt25tMODNTksMHFBBv/MKKTcqnpBGilKOsEx45ncfDgSYormmmrySd11zl6aCT/6GGOnK66f54fM//NRniraBeBDuasMDTE0NAIE3NnEvZfG+5sCQSC54QhGWFUptVw5/M7DJC70QIDPX30l6mitiqKE0/5PMCfSllNwX+tEQoEAsFwMiQjjDxkwQADD07tiTHAzbNpbNuyhS1b93LmUuNwZ+ixU1p1RhihQCAQPAYeaITSyFHorX+fQ+c3Dnden1vau5px2CR/39iEwggFAoHgp/FAIzTc8DEa614l5vAqyutLhju/zx11LRUUXj+MfuSHGEQMPQyTQCAQCIbGnMVDjFBvEDkKrbC32XsmnHPlR4WekBw2yaMd9s6PjlD/cPRx6+ZlCotreHonKLRx7eJFSise/cLb/W03OXv2Ki29j6MboJWykotcqWz9j0f1tlSQf/Y67Y9siuQAzVVXKDj/9K7L2nTtBHHRsaTlXeYRLqf/HXqoqyjl3MW6p6qTR/B08BBGOBqDyNGoBv0DJf8/Cz0h6Ya/h8GG0Q9lhH09PSQEBODj7UHk5jP8508v0F7GoYNnqWtvICvZDTXj7dw79Kit8jTbtp+madi+IAO0VJ4j/fBl+igl2NoGx8cwn7PzYhyLlfwoaBpiyLHOaxxOP82N5qGsd1qEt6kNHhuL/uNRjWcjWLg4iEtdP6awWzifdZj07EqgkqMZZ6hqbuTsDi+U9VNoeej0GjlzJJPMvMoHH/ojaavNJUhlLtOVZjFpgTnbCuoffNKPop79EY5oWaUhAsoJvsvsoRihUdTH6K0fgVrwP0k45sihcwlCT0gW8RPQWPfqQxphF75aM3jtbXl8kvPpetBbUL8T9aX+FDc1U7QnAD2b/d/a3VldwJ60AoYv+FE/FSdDWKy1Dagm1sUJz40XH/lVuksT0VAP4lzzEOtOTXvQXOzJsZtDqT+XE+bggt+m8//xqOZzMahphFH6wId2P3oozTvBkbwa6M5AV8WbU1XNlB1eh7bZ7h9RI2ziXNYJTpyt/jGZGRLXDvijPMGPW0DluQIKLjU8piv1kJW8hhUOB4QRCr7HkIxQM/RNwg+acKbsAL19YrX/J8nl6jMcOZ+EwYbRGEQOtY+wl9ozMeiZ7wcaydy2l2AXM/RU5Jk5ZykJ+Z3fOvZ0hDYfvDKCL2fKo27igLaqLc4r5ZGXn4VbagFV1/NJSD5Na/NVtnovY87smcgvW8OJG7ejGDaTf2QrTqYm6C+RR15+JkFHG6CvjUOhUhQUFFCYq0Lg3ov0Ad2l2zGeIztu1kIrNp1tgv4C/PWWoKCggJZVFBfv/Wr3V5G4YgKv/PtjFLUWsUDTE1tDKVI1eeRnKQ4eEaIAACAASURBVBGb3w30ULjNm8UKCijM1SYmu5JvtS5WZeFnvoDZs2Yy3yKRyv5eqrKjWK6ggILCUgL2XODW9R1oa4ZxtaudKwfXoaqggIKCOqGHrspKqiYT55nyyMvLs2LtRraH2/L5K+8ydspiQo+Vce1QGGoKCigoqBGSIYuk0V68GYOZ8sjLf8WIkYr4pF29m6fOavau1RssH3XCMq5QczGF5cujqKad4h3eLJSXR37mLOasiKS0vZfmoiR05OWRl9cgaO8VBigh0j+RAGtlzGzD2HYknX0nSzmXas6Yf77HuKnTWWZmh+ZSe9wsZM/UMTmP2qoC1rp5Y6U6k2WOAezYtpEVs2Zht7noTmxKqOfE3l3syaqjvXQLK1TnMGvmXAyDDn9nkfZSonWVkZeXZ4GRKwX1bRwJMUdeXh75+WvIb2vm+rnDBDj74WIqux+37UU0thbh/uUH/PVPI/h65hwWantx6FontGXhpDxP9n7MMyYqbT8piakcLqwHBqjI30fUhh0cOHiQYGcLDNVN2Hahic7K/VgqKqCgMBebkIPUA7Tk4LVcCXn5KYwdNQFlzyOiaVTwPYZghKPRDHmdfWcjhzuvzy0d3S2YxX2BNGLkkI2w7PA6NAxT6aOC8OXfMEHBgu1H0tnsuJhxhilU3fkaDFB/ah3zpkkJ27aTlAA9Jo5VJORAOulxpnyj4kzs5rXoSteyNcyJBRP1iU3LIM7eh93nS5H9Lapjh6MGEyeZsuVIOukBGnzypR0Z9R3UlBxmc1ISSb4GfG0azKHiTILnfoOeZxrp6bHoL5HimrKLjSvtsXcPIykpGgcjKaZ+x+/+cx9o41SCBdPmOHDgxG48NaczfYElW4+kk+qizDdWCWTu3YjdXEvWJSWRFGqForIvJytuNwpXkmouZb7SKrZmHCHGxYcdJzbiONsM/6QkkuIcUVFzJXFzCIYW68k4mIyjgjlrk5JI2rAKJVVv9uUeJdpqFpa+e0hPTyen+ArXT0ejNE2Xtdv2cjhtI/YzzQhMSiJpgx2L1bzZc3Ir7nMmYuibTnp6DFJVY3xTL37rOVWePyQrH28p35iHkHYghpXm0RzN8EM6UQHXzemk73BhhoI9248lsVpeDrPwdNKj7Jip78iOwwloffYxmh6pnDqdQ6SPHWZ+2TTeSGLpDF0Ck7azPcyYSWNmE5iWTnqiJZOUVxOb4svcT5cQHBeJ5cJv+GJ5MPuibZmw2IUD5bdt7grhjo64BGzAW3kZ2g7r2bVvL6Ee67gzbG6gmTRPRQxtwtmVnk5m9in2h5qiMkOb8H3pxNqoMt9vM5mRUj4fOZt1B9JJjzXmiyVuZFy9QkaQKTOVPDmUHskyRSMCdu8lSn86yyw3kp6eioPUEGsXbyzNndmwvxwY4NzuAPQM/Fi3SoEv5HRJPJzD9cpj+M01xi0qiaQkX/Q0rAjdt59405moGq0nPX0fflYG6DhnPLV9pYLh44FGqBn6BqEHVtDZI8LdDBf9A30UXD/8EPMIbxvhNnopI8zaDKeYcwB0FkahpB7OtXurSw1pGOiFU9rSyvldXixbMRixvucoxsudiYpdg5FtLIf3+zJ75GQsQ/ZRfO4SNe232++q2R7ggKn7scHfuViPUiTsaBEnElxQmDKVqXJj+L+x+kQnr2Gphr8sviRVxHj6EhQajPGMbxj9xSSmTZ3CF59+wVKLndydHdrPzVNR6KzcC9QQt9oC+/WyPsLeC4lo6fiSHLaC0f/4iCnTpjJVbjzvj5Cys/y2EXZycp0J33w6D98deZQVlnJunzOf/eUDJk6fytQpExg1QoW1CQEYmoeyLdqSMX8bidz0qUyd/CUfvrec4KQ1qOmE8a31bpoPsEI/hKKmTm4ccOKj//2QSXfO0SQ4yQvl5SHI6oY3WO/kTsCdptEBelpvcnj9KmZNmcq0SZ/w93GGxKeGYW7iT+Q6W9Qsd8lqLz1HsdL3Ji7OHTWtSGRrG13EY64+q5zt0ZB6cfQmQCPbApywDjwDZGEuXUdBbStXM/xR14+XledAFmY6LkRGe7FcN5o6GtgdYIeRTx6Qg6GaC3uLbwfnvEqMuwfeiTuIM17C5C+N2ZR7gcsXb9ytNTamY6DswN7S273KNcQ5W2ETPLg4/cV4VD7VxyPcAW3zrbLzug6jr+7GwYvVXM2ORN/6EFBBiMMaQoPdUdN0JfOm7Lntj16Lu7sfDqvXkJB5ExjgwsEIzFf6E+xrh01gtuw6ZfHM/ 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