Youtube comments of (@henrikkniberg).

  1. 248
  2. 239
  3. 173
  4. 131
  5. 126
  6. 80
  7. 69
  8. 55
  9. 33
  10. 31
  11. 30
  12. 28
  13. 26
  14. 24
  15. 23
  16. 21
  17. 19
  18. 17
  19. 15
  20. 14
  21. 13
  22. 12
  23. 12
  24. 11
  25. 9
  26. 9
  27. 9
  28. 8
  29. 8
  30. 7
  31. 7
  32. 6
  33. Hard to explain, but I'll try. Let's say we're making a spline that maps continentalness to yoffset. One point might say Continentalness 0.1 => Yoffset 0.5. That means the yoffset is fixed and independent of the other noises if continentalness 0.1. Another point might say Continentalness 0.2 => (depends on Erosion). And that in turn leads to separate spline that maps erosion to yoffset. It could contain points like Erosion -1 => Yoffset 0.2 and Erosion 1 => Yoffset 0.5. And any of those erosion spline points might in turn refer to a third spline that maps PeaksAndValleys to yoffset. For example Erosion 0.8 => (depends on PeaksAndValleys). Another way of looking at it: Me: "What should yoffset be here?" System: "What is your continentalness?" Me: "Continentalness is 0.1 here". System: "OK then yoffset is 0.5". .... Me: "What about over here? What should yoffset be here?" System: "What is your continentalness?" Me: "Continentalness is 0.2 here". System: "Oh, then it also depends on Erosion. What is your erosion?". Me: "Erosion is 0.8 here". System: "OK then yoffset is 0.3". ... And these are splines, so if continentalness was somewhere between, such as 0.15, then yoffset would be roughly the average of the two examples above. In the actual game, we've configured so if continentalness is low then the yoffset is also low, regardless of other noises. That gives us oceans. The ocean floor is only affected by continentalness, not the other noises (with the exception of super low values which lead to Mushroom Fields islands). While if continentalness is above 0, Erosion and PeaksAndValleys start having a big impact on terrain, creating plateaus and rivers and mountains.
    6
  34. 6
  35. 6
  36. 6
  37. 5
  38. 5
  39. 5
  40. 5
  41. 5
  42. 5
  43. 4
  44. 4
  45. 4
  46. 4
  47. 4
  48. 4
  49. 4
  50. 4
  51. 4
  52. 3
  53. 3
  54. 3
  55. 3
  56. 3
  57. 3
  58. 3
  59. 3
  60. 3
  61. 3
  62. 3
  63. 3
  64. 3
  65. 3
  66. 3
  67. 3
  68. 3
  69. 3
  70. 3
  71. 3
  72. 3
  73. 3
  74. 3
  75. 3
  76. 3
  77. 2
  78. 2
  79. 2
  80. 2
  81. 2
  82. 2
  83. 2
  84. 2
  85. 2
  86. 2
  87. 2
  88. 2
  89. 2
  90. 2
  91. 2
  92. 2
  93. 2
  94. 2
  95. 2
  96. 2
  97. 2
  98. 2
  99. 2
  100. 2
  101. 2
  102. 2
  103. 2
  104. 2
  105. 2
  106. 2
  107. 2
  108. 2
  109. 2
  110. 2
  111. 2
  112. 2
  113. 2
  114. 2
  115. 2
  116. 2
  117. 2
  118. 2
  119. 2
  120. 2
  121. 2
  122. 2
  123. 2
  124. 2
  125. 2
  126. 2
  127. 2
  128. 2
  129. 2
  130. 2
  131. 2
  132. 2
  133. 2
  134. 2
  135. 2
  136. 2
  137. 2
  138. 2
  139. 2
  140. 2
  141. 2
  142. 2
  143. 2
  144. 2
  145. 2
  146. 2
  147. 2
  148. 2
  149. 2
  150. 2
  151. 2
  152. 2
  153. 2
  154. 2
  155. 2
  156. 2
  157. 2
  158. 2
  159. 2
  160. 2
  161. 2
  162. 2
  163. 2
  164. 1
  165. 1
  166. 1
  167. 1
  168. 1
  169. 1
  170. 1
  171. 1
  172. 1
  173. 1
  174. 1
  175. 1
  176. 1
  177. 1
  178. 1
  179. 1
  180. 1
  181. 1
  182. 1
  183. 1
  184. 1
  185. 1
  186. 1
  187. 1
  188. 1
  189. 1
  190. 1
  191. 1
  192. 1
  193. 1
  194. 1
  195. 1
  196. 1
  197. 1
  198. 1
  199. 1
  200. 1
  201. 1
  202. 1
  203. 1
  204. 1
  205. 1
  206. 1
  207. 1
  208. 1
  209. 1
  210. 1
  211. 1
  212. 1
  213. 1
  214. 1
  215. 1
  216. 1
  217. 1
  218. 1
  219. 1
  220. 1
  221. 1
  222. 1
  223. 1
  224. 1
  225. 1
  226. 1
  227. 1
  228. 1
  229. 1
  230. 1
  231. 1
  232. 1
  233. 1
  234. 1
  235. 1
  236. 1
  237. 1
  238. 1
  239. 1
  240. 1
  241. 1
  242. 1
  243. 1
  244. 1
  245. 1
  246. 1
  247. 1
  248. 1
  249. 1
  250. 1
  251. 1
  252. 1
  253. 1
  254. 1
  255. 1
  256. 1
  257. 1
  258. 1
  259. 1
  260. 1
  261. 1
  262. 1
  263. 1
  264. 1
  265. 1
  266. 1
  267. 1
  268. 1
  269. 1
  270. 1
  271. 1
  272. 1
  273. 1
  274. 1
  275. 1
  276. 1
  277. 1
  278. 1
  279. 1
  280. 1
  281. 1
  282. 1
  283. 1
  284. 1
  285. 1
  286. 1
  287. 1
  288. 1
  289. 1
  290. 1
  291. 1
  292. 1
  293. 1
  294. 1
  295. 1
  296. 1
  297. 1
  298. 1
  299. 1
  300. 1
  301. 1
  302. 1
  303. 1
  304. 1
  305. 1
  306. 1
  307. 1
  308. 1
  309. 1
  310. 1
  311. 1
  312. 1
  313. 1
  314. 1
  315. 1
  316. 1
  317. 1
  318. 1
  319. 1
  320. 1
  321. 1
  322. 1
  323. 1
  324. 1
  325. 1
  326. 1
  327. 1
  328. 1
  329. 1
  330. 1
  331. 1
  332. 1
  333. 1
  334. 1
  335. 1
  336. 1
  337. 1
  338. 1
  339. 1
  340. 1
  341. 1
  342. 1
  343. 1
  344. 1
  345. 1
  346. 1
  347. 1
  348. 1
  349. 1
  350. 1
  351. 1
  352. 1
  353. 1
  354. 1
  355. 1
  356. 1
  357. 1
  358. 1
  359. 1
  360. 1
  361. 1
  362. 1
  363. 1
  364. 1
  365. 1
  366. 1
  367. 1
  368. 1
  369. 1
  370. 1
  371. 1
  372. 1
  373. 1
  374. 1
  375. 1
  376. 1
  377. 1
  378. 1
  379. 1
  380. 1
  381. 1
  382. 1
  383. 1
  384. 1
  385. 1
  386. 1
  387. 1
  388. 1
  389. 1
  390. 1
  391. 1
  392. 1
  393. 1
  394. 1
  395. 1
  396. 1
  397. 1
  398. 1
  399. 1
  400. 1
  401. 1
  402. 1
  403. 1
  404. 1
  405. 1
  406. 1
  407. 1
  408. 1
  409. 1
  410. 1
  411. 1
  412. 1
  413. 1
  414. 1
  415. 1
  416. 1
  417. 1
  418. 1
  419. 1
  420. 1
  421. 1
  422. 1
  423. 1
  424. 1
  425. 1
  426. 1