1
Address Coding ¦a§}½s½X
±N¦a§}ªùµP¸¹½X°t½á¤©²Îp°Ï½X (¦p¤H¤f´¶¬d°Ï½X) ªº§@·~¡C°Ñ¾\¡§¤H¤f´¶¬d°Ï¶ô¡¨(Census Block)¡B¡§¤H¤f´¶¬d¤p°Ï¡¨(Census Track)¡C
2
Address Matching ¦a§}¹ï¦ì
¥Ñµó¹D¦a§}¦Û°Ê§ä¥X«Øª«©Î°Ï°ìªÅ¶¡¦ì¸mªº³nÅé§Þ³N¡F¸g±`¥Î¦bªA°È¬£»º¨t²Î¡B¤á¤f´¶¬d¤Î°Ó°é½Õ¬d³W¹ºµ¥À³¥Î¤¤¡C
3
Affine Transformation ¥é®gÂà´«
¤Gºû§¤¼Ð¨t²Î¶¡¤§§¤¼ÐÂà´«¡A²ßºÙ¤»°Ñ¼ÆÂà´«¡C°£¤F¨â¶b¤§¥²¾¶q¥~¡A©|¥]§t¤G¶b¤§¤£¦P¤ñ¨Ò¤Ø¡B¤@Ó±ÛÂਤ¤Î¤@Ó«D¥¿¥æªº·L°¾È¤§§¤¼ÐÂà´«¡C
4
Aggregation ¸ê®Æ»E¦X
¤@ºØ¾ã¦X¯S©w¸ê®Æ (ÄݩʤΡþ©ÎªÅ¶¡¸ê®Æ) ªº³B²z¡C¤w³Q»E¦Xªº¸ê®Æ¶°¦X©Ò¥]§tªº¸ê®Æ¤¸¯À·|¤ñì¿é¤Jªº¸ê®Æ¶°¦X´î¤Ö¡C°Ñ¾\¡§¿Ä¦X¡¨(Dissolve)¡C
5
Albers' Projection ¨Èº¸«k´µ§ë¼v
¦¹§ë¼vªk«Y¤@¤K¢¯¤¦~¼w¤H¨Èº¸«k´µ (H.C.Albers) ©Òº³Ð¡A¨ä¥~§Î»PÂù¼Ð·Ç½n½u¶êÀ@§ë¼v¬Û¦P¡A¶È½n½u¤§¶¡¶Z¬°²Å¦Xµ¥¿n¥Øªº¦Ó¤£¬Ûµ¥¡C¥i¥Î¼Æ¾Ç¤èªk¨D±o¡A¦bÂù¼Ð·Ç½n½u¤§¤º¡A¨ä¶¡¶Z¼Wªø¡A¦bÂù¼Ð·Ç½n½u¤§¥~¡A¦V«n©Î¦V¥_¡A¨ä¶¡¶Z«hº¥ÁÍÁY´î¡A¬G¥çºÙµ¥¿n¶êÀ@§ë¼v¡A·¥¾A¦XøµeªF¦è¶¡¶Z¸û¼eªº¤¤½n«×°ê®a¡A¦p¥Î¥Hø»s¬ü°ê¦a¹Ï¡A¨ä³Ì¤j¤ñ¨Ò¤Ø»~®t¥u¦³¦Ê¤À¤§¤@¡D¤G¤¡C
6
Attribute Matching Äݩʤǰt
»P¡§ÄݩʼХܡ¨(Attribute Tagging) ¦P¸q¡C
7
Attribute Tagging ÄݩʼХÜ
±NÄݩʫü¬£µ¹ªÅ¶¡¸ê°T¨t²Î¤¤ªºª«¥ó (ÂI¡B½u¡B¦hÃä§Î) ¡C¦P¸qµü¬°¡§Äݩʤǰt¡¨(Attribute Matching)¡C
8
Automatic Name Placement ¦WºÙ¦Û°Ê°t¸m
¬O«ü¦b¦a¹Ï¤W¦Û°Ê¥[¤Wª«¥óªº¼ÐÃD¡C²³æªº¦WºÙ¦Û°Ê°t¸m¨t²Î¸m©ñ¤å¦r¦b¬Û¹ï©ó¹Ï§Îª«¥óªº¬YÓ¹w¥ý©w¸qªº¦ì¸m¤W¡C½ÆÂøªº¦WºÙ¦Û°Ê°t¸m¨t²Î¸Ñ¨M¤F¼ÐÅҽĬð©M«Å|ªº°ÝÃD¡A¦]¦Ó§ïµ½¤å¦r¸ê®Æªº¥iŪ©Ê©M¦a¹Ïªº¬üÆ[¡C°Ñ¾\¡§¼Ð°O¸m©ñ¡¨(Labelling)¡C
9
Azimuthal Equal-Area Projection ¥¿¤è¦ìµ¥¿n§ë¼v
¦¹§ë¼v¨Ã«D¯u¥¿§ë¼v¡A¦ý¨äµ²ºc¤èªk»P¤@¯ë¥¿¤è¦ì§ë¼v¬Û¦P¡A¥u¬O±N½n½u°éªº¶¡¶Z¥Î¼Æ¾Ç¤èªk¥[¥H¾A·í½Õ¾ã¡A¥H¨Ï¤G±ø½n½u°é©Ò§¨ªº±¿n»P¦PÁY¤Ø¦a²y»ö¤W¬ÛÃöªº±¿n¬Ûµ¥¡A¦]¦¹½n½u°é¤§¶¡¹j¦Û¤¤¤ß¦V¥~º¥ÁÍÁY´î¡C¥»§ë¼vªk«Y¤@¤C¤C¤G¦~Äõ§B¯S (J.H. Lambert) ©Òº³Ð¡A¥çºÙÄõ§B¯S¥¿¤è¦ì§ë¼v¡A¨ä¨ª¹D§ë¼v¬°º~³Áº¸§ë¼v (Hammer¡@Projection) ¤§°ò¦¡A±×¶b§ë¼v±`¥Î¥Hø»s³°¥b²y©Î¤ô¥b²y¹Ï¡A¤@¯ë¦a¹Ï¶°¥ç¦h±Ä¥Î¦¹§ë¼vªk¡C
10
Azimuthal Equidistant Projection ¥¿¤è¦ìµ¥¶Z§ë¼v
¦¹§ë¼vªk«Y¥¿¤è¦ì§ë¼v¤§×§ï¡A¦p¥H·¥§ë¼v¬°¨Ò¡A¨ä¦P¤ß¶ê¤§½n½u°é¶¡¹j¬°µ¥¶Z¡Aªu¦U¸g½u¤§ÁY¤Ø¬°¥¿½T¡A¦]¦¹¦b§ë¼v¹Ï¤W¥ô¦ó¤@ÂI¹ï¤¤¥ß¤§¤è¦ì»P¶ZÂ÷§¡ÄÝ¥¿½T¡C¨ä§ë¼v½d³ò¥i¼s¤Î¥þ²y¡A¥u¬O§ë¼v¤¤¤ßªº¹ïµJÂIÅܦ¨¤@¶ê©P¡C¦b¤¤¤ßªþªñ¡A¤£½×±¿n»P§Îª¬§¡±µªñ¥¿½T¡A¦Û¤¤¤ß¦V¥~¡A¨ä±¿n»P¨¤«×Åܤƫhº¥ÁͼW¥[¡A¦ý¤´¸û²y±§ë¼v¬°¤p¡AÂ÷¤¤¤ß¤T¤Q«×³B¡A±¿nÂX¤j¶È¤@¡D¢¯¤¿¡A¦b¨ª¹D¬°¤@¡D¤¤C¿¡A¦¹§ë¼vªk¬°¤@¤¤»¤E¦~³Á¥d¦«¤ó©Òº³Ð¡A¥Î¥Hø»s¨â·¥¦a°Ï¡A¥H¸É¨ä¥¿§Î¶ê¬W§ë¼v¤§¤£¨¬¡C¥»§ë¼vªk¤§±×¶b§ë¼v¤SºÙªi´µ¼w§ë¼v (Postel's Projection)¡CY¥H¬Y¤@«°¥«¬°§ë¼v¤¤¤ß¡A«hø»s¸Ó«°¥«¤§¯èªÅ¸ô½u¹Ï¡BµL½u¹qªi»P¦a¾_ªi¹Ï¡A·¥¬°¦X©y¡A¨ä¨ª¹D§ë¼v¥iÂàÅܦ¨¾ò¶ê§Î¤§®J¦«¤Ò§ë¼v (Aitoff Projection) ¡C
11
Azimuthal Projection ¥¿¤è¦ì§ë¼v
¬°§ë¼vªk¤¤¤§¤@Ãþ¡A«Y±N¦a²y§ë¼v¨ì»P¨ä¬Û¤Á©ó¤@ÂI¤§¥±¤W¦Ó¦¨¡A¦¹¤@¤ÁÂI¦p¬°¨â·¥¡A«hºÙ·¥¥¿¤è¦ì§ë¼v¡F¦p¬°¨ª¹D¤W¤@ÂI¡A«hºÙ¨ª¹D¤è¦ì§ë¼v¡A¦p¬°¨â·¥»P¨ª¹D¶¡¤§¥ô·N¤@ÂI¡A«hºÙ¬°±×¶b¥¿¤è¦ì§ë¼v¡C¦¹¤@Ãþ§ë¼v¤¤¡A©Ò¦³³q¹L¤¤¤ß (¤ÁÂI) ªº¤j¶ê°é¦b§ë¼v¹Ï¤W§¡¬°ª½½u¡A±q¤¤¤ß¦V¥|©P¥ô¦ó¤@ÂIªº¤è¦V§¡¬°¥¿½T¡A¬GºÙ¬°¥¿¤è¦ì§ë¼v¡C¥Ñ©ó¤¤¤ß³¡¤À¨S¦³¨¤«×§ïÅÜ¡A¦Û¤¤¤ß¦V¥~¤§Åܧά°¹ïºÙ¡A¬G¾A¦X©óøµe¶ê§Î©Îªñ¦ü¶ê§Î¦a°Ï¤§¦a¹Ï¡C
12
Boolean Algebra ¥¬ªL¥N¼Æ
¥H¦³©ÎµLªº¤¸¯À¶°¦X¡A°õ¦æ¨ã¦³´îªk¡B¥[ªk©M¼ªk¤TºØ¤w©w¸q¹Bºâªº¥N¼Æ(¾Ç)¡A³o¨Ç¹Bºâ¬Û·í©ó¨D¸É¶°¡BÁp¶°¡B¥æ¶°µ¥¶°¦X¹Bºâ¡C°Ñ¾\¡§¥¬ªL¹Bºâ¡¨(Boolean Operations)¡C
13
Boolean Operations ¥¬ªL¹Bºâ
¥H¥¬ªL¥N¼Æ¬°°ò¦ªº¹Bºâ¡C
14
Calibration ²v©w(ÀË©w)
¤ñ¸û¤@Ó»ö¾¹ªº¬Y¨Ç¯S©w¶q´úÈ»P¤@Ӽзǻö¾¹©Ò¶q´ú¤§Èªº³B²z¹Lµ{¡C
15
Calibration Data ²v©w(ÀË©w)¸ê®Æ
±q¤@Ӽзǻö¾¹©Î³]³Æ±o¨ìªº¸ê®Æ¡C¦b»»·P±´´ú¤¤¡A³o¨Ç¸ê®Æ¬O¦³Ãö¥úÃФΤ@Ó·PÀ³¾¹©Î¿ç®g·½ªº´X¦ó¯S¼x¡C
16
Cartographic Enhancement ¦a¹Ïªº±j¤Æ
¼W¥[¸ê°T¦Ü¦a¹Ï©Î·Ó¤ù¼v¹³¤W¡A¥H´£°ª¥¦ªº¥iŪ©Ê¡B¬üÆ[©Î¸ê®Æ¤º®e¡C
17
Cartographic Modeling «Ø¥ß¦a¹Ï¼Ò¦¡
²£¥Í¦a¹Ï¼Ò¦¡ªº³B²z¹Lµ{¡C
18
Centralized Processing ¶°¤¤¦¡¸ê®Æ³B²z
¹q¸£¨t²Îªº«ü¥O°õ¦æ¤Î¾÷¯à¬°¶°¤¤¦¡¡A¨Ò¦p±N¥ø·~¾÷ºc¦U¦aªº¸ê®Æ¥HÂ÷½u©Î³s½uªº¤è¦¡¥þ³¡¶°¤¤©ó¸Ó¾÷ºc°ß¤@¹q¸£¤¤¤ß³B²z©ÎÀx¦s¡C
19
Classification ¤ÀÃþ
¤@ºØÁY½sªº¤èªk¡C¦b¤ÀÃþªº³B²z¹Lµ{¤¤¡A¨Ì¾Ú¬Y¨Ç¦@¦Pªº¯S©Ê¨Ó¶°¦X¸ê®Æ¦¨¦U¤ÀÃþ¡A¦]¦Ó´î¤Ö¸ê®Æ¤¸¯Àªº¼Æ¶q©ÎºØÃþ¡C¤ÀÃþ¬O¥H¸ê®ÆªºÄݩʩίS©Ê¬°®Ú¾Ú¡A¦Ó«D¥¦Ìªº´X¦ó¯S©Ê¡C
20
Clipping µô°Å
±q¤@Ó¸û¤jªº¶°¦X¤¤¡A¸g¥Ñ¿ï¨ú¥u¦ì©ó³Q¿ï¾ÜÃä¬É¤º (©Î¥~) ªº¸ê®Æ¡A©ÒÂ^¨ú¥Xªº¤@ӪŶ¡¸ê®Æ¤l¶°¦X¡C¦¹Ãä¬É©Ò³ò¦¨ªº°Ï°ì¥iºÙ¬°¡§µô°Åµøµ¡¡¨(Clipping Window)¡C
21
Clipping Window µô°Åµøµ¡
¥Î©ó°õ¦æµô°Å (Clipping) ªº¦hÃä§Î¡C
22
Compaction À£ÁY
°Ñ¾\¡§À£ÁY¡¨(Compression)¡C
23
Compression À£ÁY
´î¤ÖÀɮפj¤pªº¹Bºâ¡AÀ£ÁY§Þ³N®ø°£ Bytes ©Î Bits ªº«½Æ±Ú¸s¡A©ÎªÌ¾É¤J¤@Ó¤£¦Pªº½s½X¤èªk¡CÀ£ÁY¥i¯à¬O¥i°f (¥i¸ÑÀ£) ©Î¤£¥i°f (¤£¥i¸ÑÀ£) ¡C °Ñ¾\¡§¸ÑÀ£ÁY¡¨(Decompression) ¡B¡§³sÄò§¡È½s½Xªk¡¨(Run-Length Coding)¡C
24
Conflation (1)¦a¹ÏªÈ¥¿ (2)¦a¹Ï¦X¨Ö
¦¹¦Wµü¦³¨âºØ¤£¦Pªº¸ÑÄÀ¤Î͵ü¡G
(1) °w¹ï¦P¤@¦a°Ï¤£¦P¼h±ªº¹Ï¡A¶i¦æ´X¦óªÈ¥¿ªº§¤¼ÐÂà´«¡A¨Ï±o¦P¤@ÂI¦b¤£¦P¹Ï¼h¦³¤@Pªº§¤¼ÐÈ¡A¥H§Q©óªÅ¶¡¤ÀªR¤ÎÅ|¹Ïµ¥¡C
(2) ±µ¦X©Î¦X¨Ö¼ÆÓ¼ÆÈ¦a¹ÏÀɮצ¨¬°¤@ÓÀɮתº³B²z¹Lµ{¡A¬O¸g¥Ñ¿ï¾Ü¨CÓ³æ¿W¦a¹Ï¤¤ªº³Ì¨Î¹Ï¼x¦Ó²Õ¦X¦¨·sªº¦a¹Ï¡C
25
Conformal Transformation ¥¿§ÎÂà´«
¤Gºû§¤¼Ð¨t²Î¶¡¤§§¤¼ÐÂà´«¡C°£¤F¨â¶bªº¥²¾¶q¥~¡A©|¥]§t¤G¶b¶¡¤§¦P¤@¤ñ¨Ò¤Ø¤Î±ÛÂਤªº§¤¼ÐÂà´«¡C
26
Contour Tagging µ¥°ª½u¼Ð¥Ü
¦b¸g¥Ñ±½´y¤§µ¥°ª½u¹Ï§Î¤W«ü©w°ªµ{¼ÆÈªº¤@ºØ¦Û°Ê³B²z¹Lµ{¡C
27
Contrast Stretching ¹ï¤ñ¼W±j
±N¼v¹³¹ï¤ñ¼W±jªº¤@ºØ¤èªk¡C
28
Coordinate Thinning §¤¼Ðºë²¤Æ
¤@ºØ¸ê®Æºë²¤Æªº³B²z¡C¦b¾¨¶q«O«ù¦±½u§Îª¬¯S¼x©M¦ì¸m¥¿½T©Êªºì«h¤U¡A¿ï¾Ü¤@¨Ç¸û«nªºÂI¨Ó¥Nªí¸Ó½u¡A¥H´î¤Ö¸ê®Æ¶q¡C¦P¸qµü¬°¡§½u²¬ù¤Æ¡¨ (Line Generalization) ¡C
29
Cylindrical Equal-Area Projection µ¥¿n¶ê¬W§ë¼v
¥Ñ««ª½©ó¦a¶bªº¥¦æ¥ú½u¡A±N¦a²yªí±ªº¸g½n½uºô§ë®g¨ì¥~¤Á¦a²y¨ª¹Dªº¶êµ©Åé¤W©Ò®i¶}¦Ó¦¨¡C¦]²yÅéªí±¿n»P¨ä¥~¤Á¤§¶êµ©Å鱿n¬Ûµ¥¡A¬G®i¶}«á¤§§ë¼v¥±¿n»P¦a²yªí±¿n¬Ûµ¥¡A¥ô¦ó¤G±ø½n½u©Ò§¨¤§±¿n¥ç»P¦a²y¤Wªº¹ê»Ú±¿n¬Ûµ¥¡A¬G¬°µ¥¿n§ë¼v¡C¨ä¸g½u¬°««ª½©ó¨ª¹Dªº¥¦æ½u¡A¶¡¹j¬Ûµ¥¡A½n½u¬O»P¨ª¹D¥¦æªºª½½u¡A¨ä»P¨ª¹Dªº¶ZÂ÷»P¨ä½n«×ªº¥¿©¶¦¨¤ñ¨Ò¡A¦¹ºØ§ë¼v¦]°ª½n³¡¤ÀÀ£À½ÅܧΤӤj¡A¥Î³B¸û¤Ö¡C
30
Cylindrical Projection ¶ê¬W§ë¼v
¬°§ë¼vªk¤¤¤§¤@Ãþ¡A«Y±N¦a²y±§ë¼v¨ì¥~¤Á©Î¬Û³Î¤§¶êµ©Åé¤W¡A®i¶}«á¦Ó¦¨¡A¸g½n½u§¡¬°ª½½u¡A¤¬¬Û¥¿¥æ¡C¦p³Á¥d¦«§ë¼v¡B°ªº¸§ë¼v»P¯x§Î¶ê¬W§ë¼v§¡¬O¡C
31
Data Processing ¸ê®Æ³B²z
¨Ï¥Î¹q¸£¨t²Î°õ¦æªº¸ê®Æ¹Bºâ¡C
32
Data Reduction ¸ê®ÆÁY´î
°Ñ¾\¡§À£ÁY¡¨(Compression)¡C
33
Decentralized Processing «D¶°¤¤¦¡³B²z
±N¹q¸£ªºpºâ¡B³B²z¤À´²¦b³\¦h³B²z¾¹¤W¡C
34
Decompression ¸ÑÀ£ÁY
ÂX®iÀ£ÁYÀɮצ¨¬°ì©l®æ¦¡ªº§@·~¡C°Ñ¾\¡§À£ÁY¡¨(Compression)¡C
35
Dissolve ¿Ä¦X
±N¨ã¦³¦@¦PÄݩʪº¦hÃä§Î¥[¥H»E¦X¡A¨äµ²ªG¬O²£¥Í¤@Ó²¤Æªº¦hÃä§Î¹Ï¼h¡C
36
Draping Âл\
¬D¿ï¥Xªº¤Gºû¸ê®ÆÅã¥Ü¦b¤@Ó°_¥ñ¦a»ª©Î¥ô¦ó¨ä¥¦ªÅ¶¡¤ÀÂ÷Åܼƪº³zµø´º¹³¤W¡C¨Ò¦p¡A¤@±i¹D¸ô¸ôºô¦a¹Ï¥i¯àÂл\¦b¤@Óªí±°ªµ{ªº³zµø´ºª«¤W¡C
37
Dropline °£½u
¥h°£¨ã¦³¬Û¦PÄݩʪº¬Û¾F¦hÃä§Î¤§¶¡¹Ï§Î¬É¦@¦PÃ䪺³B²z¹Lµ{¡C°Ñ¾\¡§¿Ä¦X¡¨(Dissolve)¡C
38
Edge Enhancement Ãä½t¼W±j
¸ÑªR¼v¹³ªº³B²z§Þ³N¡A¥¦¼W±j¼v¹³¤¤¹Ï¼x¤§¶¡¦â½ÕÅÜ´«ªº®t²§¡C
39
Edgejoin Ãä½t±µ¦X
»P¡§±µÃä³B²z¡¨(Edgematching) ¦P¸q¡C
40
Edgematch Ãä½t±µ¦X
»P¡§±µÃä³B²z¡¨(Edgematching) ¦P¸q¡C
41
Edgematching ±µÃä³B²z
×¥¿¬Û¾F¦a¹Ï¶¡Ãä½tªþªñ¤º®e©Î¦ì¸m¤£¬Û²Å¤§³B¡A¨Ï¨ä³s±µ¦¨¤@³sÄòªº¦a¹Ï¡C¦P¸qµü¬°¡§Ãä½t±µ¦X¡¨(Edgejoin¡BEdgematch)¡C
42
Emulation ¼ÒÀÀ
¥Î¤@Ó¼ÒÀÀ¾¹¨Ó°õ¦æ©Ò¬D¿ïªº¤u§@¡C
43
Eqirectangular Projection ¯x§Î¶ê¬W§ë¼v
¦¹¬°³Ì¥j¦Ñ»P³Ì²³æªº§ë¼vªk¡A¸g½u»P½n½u¬O¥¦æ»P¤¬¬Û««ª½¥¿¥æ¡A¥ô¦ó¤@±ø½n½u§¡¥i±Ä¥Î¬°¼Ð·Ç½n½u¡A©Ò¦³¸g½u¤§ªø«×»PÁY¤p¤§¦a²y»ö¹ê»Úªø«×¬Û¦P¡A¦]¦¹ªu¼Ð·Ç½n½u»P¸g½u¤§ÁY¤Ø§¡¬°¥¿½T¡A¦b¥_¥b²y¡A¼Ð·Ç½n½u¥H¥_¦U½n½u¸û¹ê»Ú¬°ªø¡A¥H«n¦U½n½u¸û¹ê»Ú¬°µu¡AªF¦è«n¥_¤è¦V¥¿½T¡A¨ä¥L¤è¦V«h²¤¦³§ïÅÜ¡A¦¹ºØ§ë¼vªk¬J«D¥¿§Î¡A¥ç¤£µ¥¿n¡A¦ý¨â·¥¦a°Ï±¿n¤§ÂX¤j¸û³Á¥d¦«§ë¼v¬°¤p¡A¾A¥Î©óø»s«°¥«¹Ï©Î¦aÄy¹Ï¡A¦p¥H¨ª¹D¬°¼Ð·Ç½n½u¡A«h¸g½n½u¦¨¥¿¥æªº¤è®æºô¡A¥tºÙ¥±¹Ïªk (Plane¡@Chart) ¡A¬ö¤¸«e¤@¦Ê¦~¤§ Chart of Marinus¡@of Tyre¡A§Y±Ä¥Î¦¹§ë¼vªk¡A§Ú°ê¥j¥N¤§¡up¨½µe¤è¡v¥çÄݦ¹§ë¼vªk¡C
44
Format Conversion ®æ¦¡Âà´«
±q¤@ºØ®æ¦¡¨ì¥t¤@ºØ®æ¦¡ªº¸ê®ÆÂà´«¡C
45
Gall's Projection °ªº¸§ë¼v
¦¹§ë¼vªk¬O°²©w¶ê¬WÅé³Î¦a²y»ö©ó«n¥_½n¥|¤Q¤«×ªº¸g½u°é¡A±NµøÂI©ñ¦b¨ª¹D¤W¡AµM«á¥Î³zµø¤èªk§â¸g½n½uºô§ë®g¨ì¶êµ©±¤W¡A®i¶}«á§Y¬O¡A¦]¦¹¥u¦³«n¥_½n¥|¤Q¤«×ªº½n½uÁY¤Ø¥¿½T (ºÙ¬°¼Ð·Ç½n½u) ¡A¨ä¥L½n½uªºªø«×¦b¨â¼Ð·Ç½n½u½u¶¡¸û¹ê»Ú¬°µu¡A¦b¨â¼Ð·Ç½n½u¥H¥~«h¸û¹ê»Ú¬°ªø¡A¦ý¸û³Á¥d¦«§ë¼v¬°¤p¡A¦¹ºØ§ë¼vªk¬O¤@¤K¤¤¦~^¤H°ªº¸ (James Gall) ©Òº³Ð¡AÁöµM¬J«Dµ¥¿n¡A¥ç¤£¥¿§Î¡A¦ý©Òø»sªº¥@¬É¥þ¹Ï§Îª¬¸û¬°§¹¾ã¡A¤¤½n«×¦a°Ï¸ûªñ¥¿½T¡A¬G^°ê¤H¦h·R¥Î¦¹ºØ§ë¼vø»s¥@¬É¥þ¹Ï¡A¤@¯ë®ð¶H¾Ç®a¥ç¦h¥Î¦¹ºØ§ë¼vø»s¦UºØ®ðÔ¤À§G¹Ï¡C
46
Generalization ²¬ù¤Æ¡BÁY½s
¸ê®Æ³B²zªº¤@ºØ¤èªk¡A¸g¥Ñ¬Ù²¤¡B¤ÀÃþ¡BÂk¯Çµ¥¤è¦¡¡A±N¸ê®Æ¤©¥Hºë²¡A´î¤Ö¨äÅé¿n¡A¥H¼W¥[¸ê®ÆÀx¦s¤Î¤ÀªR®Éªº®Ä²v¡C°Ñ¾\¡§Â²³æ¤Æ¡¨(Simplification)¡B¡§¤ÀÃþ¡¨(Classification)¡B¡§²Å¸¹¤Æ¡¨(Symbolization)¡B¡§Âk¯Çªk¡¨(Induction)¡C
47
Geocoding ¦a²z½s½X
(1) »P¡§¦a§}½s½X¡¨(Address Coding) ¦P¸q¡C(2) «ü¬£¤@¦a²z¦ì¸m¨ì¤@Óª«¥óªº³B²z¡C
48
Geometric Correction ´X¦ó®Õ¥¿
¼v¹³©Î¹Ï§Î¤§´X¦óÂà´«§ï¥¿¡C±N¼v¹³©Î¹Ï§Î¸g¹L§ï¥¿¤§µ{§Ç®ø°£´X¦óÅܧΡA¨Ò¦p¤ñ¨ÒÁY©ñ¡BÅs¦±¬n±×©MªÅ¶¡§á¦±µ¥¡C
49
Geometric Transformation ´X¦óÂà´«
¸g¥Ñ´X¦ó¹Bºâ¡A±N¸ê®Æ®w¤¤¦a¹Ï©Î¸ê®Æ¼h¡AÂà´«¦¨¥Ñ¤@Ó¦@¦Pªº§¤¼Ð¨t²Î¨Óµn¿ý¡A¥H«K¨Ï¤£¦Pªº¸ê®Æ¼h¥i¥H®MÅ|¤ÀªR¡C°Ñ¾\¡§´X¦ó®Õ¥¿¡¨(Geometric Correction)¡C
50
Geoprocessing ¦a²z³B²z
¦a²z°Ñ¦Ò¸ê®Æªº³B²z»P¤ÀªR¡C
51
Globular Projection ²yª¬§ë¼v
¦¹§ë¼vªk«Y¤Q¤C¥@¬ö¥§¬_¬¥¦è (Nicolosi) ©Òº³Ð¡A±`¥Î¥Høµe¥b²y¦a¹Ï¡Aøªk²©ö¡A¶È±N¤¤¥¡¸g½u¡B¨ª¹D»P¥Nªí¸g½u¤§¶ê©P¥[¥Hµ¥¤À¡A³s±µ¤T¬ÛÀ³¤§¤ÀÂI§@¶ê©·§Y¦¨¡C¦¹ºØ§ë¼v¬J«Dµ¥¿n¡A¥ç¤£¥¿§Î¡A¥u¦³««ª½¥¿¥æ¤§¤¤¥¡¸g½u»P¨ª¹D¤§ÁY¤Ø¬°¥¿½T¡C¨ä¥L³¡¥÷ªºÁY¤Ø«h¦³©ñ¤j¡A¦ý¤@¯ëÅܧζq¸û¥¿®g§ë¼v Orthographical Projection) ©Î²y±§ë¼v (Stereographical Projection) ¬°¤p¡C
52
Gnomonic Projection ¤é´¾§ë¼v
¦¹§ë¼vªk¤D¬ö¤¸«e¤»¢Ý¢Ý¦~¥ª¥k§ÆÃ¾¦a¹Ï¾Ç®aªü¤º§J¦è°Ò¼w (Aneximander) ©Òµo©ú¡A¦ý¨ì¤Q¤E¥@¬ö«á¤~´¶¹M¥Î¥Hø»s¦a¹Ï¡A¦¹§ë¼vªk¤D¥H¦a²y¤¤¤ß¬°µøÂI¡A±N¸g½n½uºô§ë¼v©ó¥~¤Á¤§¥±¤W¡A¬G¥çºÙ¤¤¤ß§ë¼v (Central Projection) ¡A¦]§ë¼v¥±¥i¥¿¤Á²y±©ó¥ô¦ó¤@ÂI¡A¬G¤S¥i¤À¬°·¥¡B¨ª¹D»P±×¶b¤TºØ¡A¦b¤ÁÂIªþªñ¡AµL½×±¿n»P§Îª¬§¡±µªñ¥¿½T¡A¥Ñ¦¹¤¤¤ß¦V¥~¡A¨ä±¿n»P¨¤«×¤§Åܤƨ³³t¼W¥[¡A¨ä³Ì¤j¯SÂI¬°©Ò¦³¤j¶ê°é½u¦b¹Ï¤W§¡¬°ª½½u¡A¬G¥çºÙ¤j¶ê°é¯è½u§ë¼v¡C±`¥Î¥Høµe¶V·¥©Î¶V¬v¯è¹Ï¡CµL½u¹qªi»P¦a¾_¶Ç¼½¹Ï¡A¥i¸É³Á¥d¦«§ë¼v¤§¤£¨¬¡C
53
Gridding ¤è®æ(ºô®æ)¤Æ
(1) Âà´«ªÅ¶¡¸ê®Æ¬°¤è®æ(Grid)¸ê®Æµ²ºcªº³B²z¹Lµ{¡C(2) ¦b¤£³W«h¦ì¸m¤W¨ú¼Ë¨Ãpºâ¦¨¬°³W«h¤À´²ÂIªº¤@ºØªÅ¶¡¨ç¼Æ¤º´¡ªk¡C(3) ³q±`¬O«ü¡§ºô®æ¤Æ¡¨(Rasterization)¡C
54
Ground Control Point ¦a±±±¨îÂI
¯à¦b¼v¹³©Î¦a¹Ï¤W³Q¿ëÃѪº¤@Ó¤wª¾¦ì¸mÂI¡A¨Ã¥B¯à³Q¨Ï¥Î©ó¼v¹³©Î¦a¹Ï®Õ¥¿[¹ï·Ç]®É©Ò»ÝÂà´«ªºpºâ¡A¥H¥Î©ó´X¦óÂà´«¡C°Ñ¾\¡§´X¦ó®Õ¥¿¡¨(Geometric Correction)¡B¡§´X¦óÂà´«¡¨(Geometric Transformation)¡C
55
Hidden Line Removal ÁôÂýu®ø°£
±q¤@ӹϧÎÅã¥Ü¤¤®ø°£½u¬qªº³B²z¡A«ü¤Tºûª«¥ó§ë¼v¨ì¤Gºûµø¹Ï¤W®É¡A®ø°£³Q¾B½ªªº½u¬q¡C
56
Horizontal Integration ¤ô¥¾ã¦X¡B¾î¦V¾ã¦X
¨âөΦhÓ¾Fªñªº¹q¸£¦a¹ÏÀɮתºµ²¦X¡A©Ò²£¥Íªº¦a¹ÏÀɮ׬O¦ì¬Û¤@Pªº¡C°Ñ¾\¡§±µÃä³B²z¡¨(Edgematching)¡C
57
Image Enhancement ¼v¹³¼W±j
§ïÅÜ©ÎÂX¤j¤@Ó¼v¹³¤¤¦â½Õ®t²§ªº¥ô¦ó¤@²Õ¹BºâªºÀ³¥Î¡A³o¨Ç¹Bºâ¥i¯à¥]¬A¡§¹ï¤ñ¼W±j¡¨(Contrast Stretching)¡B¡§Ãä¬É¼W±j¡¨(Edge Enhancement)¡B¡§¹LÂo¡¨(Filtering) ¤Î¡§¥·Æ¤Æ¡¨(Smoothing)¡A¥i§ïµ½¹ï©ó·Qn¹Ï¼xªº¬d¸ß©ÎÃѧO¡C
58
Induction Âk¯Çªk
(1) ¤@ºØ±À²zªº¤èªk¡C(2) ¤@ºØ¥Î©ó¦a¹ÏÁY½sªº¤èªk¡A¥]¬A¦b¸ê®Æ¤¸¯À©Î¸ê®Æ¯S©Ê¤§¶¡©Òµ²¦Xªº¸ê®Æ®w½d³ò¡C
59
Interactive Topology ¥æ½Í¦¡¦ì¬Û³B²z¡B¤¬°Ê¦¡¦ì¬Û³B²z
¦a²z¸ê°T¨t²Î(GIS)ªº¥\¯à¡A¯à°÷§Y®É§ó·sªÅ¶¡¸ê®Æ®wªº¦ì¬Û¡C
60
Intersection (1)¥æ¶° (2)¥æ¤eÂI
¦¹¦Wµü¦³¨âºØ¤£¦Pªº¸ÑÄÀ¤Î͵ü¡G
(1) ¤@ºØ¼ªkªº¶°¦X¹Bºâ¡C¥æ¶°ªºµ²ªG¬O¤@Ó¥]§t¥þ³¡¿é¤J¶°¦X¦@¦P¤¸¯Àªº¶°¦X¡C
(2) ¨â±ø©Î¦h±ø½u©Î½u¬q¶¡ªº¦@¦PÂI¡C
61
Join µ²¦X
¨âөΦhÓÃöÁp¦¡¸ê®Æ®w¤¤ªºªí®æ¡A¥H¤@Ó¦@¦P¸ê®Æ¶µ¥Ø©ÎÄæ¦ì¬°ÃöÁp©Ò°µªºÁpµ²©Î¦X¨Ö¡C°Ñ¾\¡§ÃöÁp¦¡¸ê®Æ®w¡¨(Relational Database)¡C
62
Labelling ¼Ð°O¸m©ñ
±N´yz¦a²zª«¥óªº¤å¦r¼Ð°O¸m©ñ¦b¦a¹Ï¤W¡A¯S§O¬O¼Ð¥Ü´yz¯S®í¹Ï¼x¯S©Ê¤§¤å¦r¡C°Ñ¾\¡§¤å¦r¸m©ñ¡¨(Lettering)¡C
63
Lambert's Conic Conformal Pojection Äõ§B¯S¥¿§Î¶êÀ@§ë¼v
¦¹§ë¼vªk«Y¤@¤C¤C¤G¦~¼w°êõ¾Ç®aÄõ§B¯S (J.H. Lambert) ©Òº³Ð¡A¨ä¥~§Î»PÂù¼Ð·Ç½n½u¶êÀ@§ë¼v¦P¡A¶È½n½u¤§¶¡¶Z¬°²Å¦X¥¿§Î¥Øªº¦Ó¤£¬Ûµ¥¡A¥i¥Ñpºâ¨D±o¡C¦bÂù¼Ð·Ç½n½u¤§¤º¡A¨ä¶¡¶Z²¤ÁÍÁY´î¡A¦bÂù¼Ð·Ç½n½u¤§¥~¡A¦V«n©Î¦V¥_¡A¨ä¶¡¶Z«hº¥ÁͼW¥[¡C¥Ñ©ó¥¿§Î¡A¸g½u¬Oª½½u¡A¨ä¥L¤j¶ê°é½u¥çªñ¦üª½½u¡A¬G»á¾A¦Xø»sªF¦è¸û¼e¤§¤¤½n¦a°Ï¯èªÅ¹Ï»P®ð¶H¹Ï¡C
64
Least-Squares Adjustment ³Ì¤p¤G¼ªk¥®t
¨Ï¥Î¡§³Ì¤p¤G¼ªkºtºâªk¡¨ªº¤@ºØ§¤¼ÐÂà´«¤èªk¡C¥ç§Y·í¦Û¥Ñ«×¤j©ó¹s®É¡A±Ä¥Î¤§²Îp³B²zªº¤èªk¡C°£À³º¡¨¬ª«²z(¼Æ¾Ç)¤§±ø¥ó¥~¡A¨ä²Îp¤W¤§±ø¥ó¬°¡G¦UÆ[´ú¶q(©â¼ËÈ)¤§×¥¿¶qªº¥¤è©M¬°³Ì¤p¡C
65
Lettering ¤å¦r¸m©ñ
³]p©Î¸m©ñ¤å¦r¦b¦a¹Ï¤Wªº³B²z¹Lµ{¡C
66
Level Slicing ¼h¤À³Î
±N³sÄòªº¼ÆÈ¨ç¼Æ¤À¦¨¤£³sÄòªºµ¥¯Å¡C
67
Line Generalization ½u²¬ù¤Æ
»P¡§§¤¼Ð²¬ù¤Æ¡¨(Coordinate Generalization) ¦P¸q¡C
68
Line Simplification ½u±øÂ²¤Æ
°Ñ¾\¡§§R°£ÂØÂI¡¨(Weeding)¡C
69
Lineage ¸ê®Æ³B²z¾úµ{
¦a²z¸ê°T¨t²Î¦b¸ê®Æ¤ÀªRÀ³¥Î¤W¡A¸ê®Æªº³B²z¾úµ{ (³B²z¹Lµ{) ¬O¤@¶µ¤Q¤À«nªº¸ê®Æ¡A¦]¬°ªÅ¶¡¸ê®Æ±q¸ê®Æ¦¬¶°¡B»s¹Ï¡B¼ÆÈ¤Æ¡B§¤¼ÐÂà´«¡B±µÃä³B²z¡BÅ|¹Ï¤ÀªRµ¥³\¦h³B²z¹Lµ{¡A§¡·|¼vÅT¸ê®Æ«~½è¡A¦]¦¹±q¸ê®Æ³B²z¾úµ{¤W¨Ï¥ÎªÌ¥iÁA¸Ñ¼vÅT¸Ó¸ê®Æ«~½èªº«n¦]¤l¡C
70
Linear Transformation ½u©ÊÂà´«
¤@Ó½u©Ê¦V¶q²Õ¦X¬M®g¦¨¬°ÅÜ´«¦V¶q¤§¬Û¦P²Õ¦Xªº¤@ºØÂà´«¡A½u©ÊÂà´«¥]¬A°Å¤Á¡BÁY©ñ¡B¤Ï®g¡B¥²¾¡B³zµø©M¾ãÅéÁY©ñ¡C
71
Low Oblique Photography §C¶É±×Äá¼v
(1) Äá¼v¾÷¥ú¶b¶É±×¨¤¸û¤p(¬ù30«×¥H¤U)¡A¨Ï¹³¤ù¤W¤£¨£¦a¥½uªÌ¡C(2) §C¶É±×¯èªÅ·Ó¹³¤Wªº´º¹³Åܧθû°ª¶É±×¯èªÅ·Ó¹³§C·L¡A¦ý¦b»s¹ÏÀ³¥Î¤W¡A¤@¼Ëªº§xÃø¡C¶É±×·Ó¹³ÁöµM¤£¾A©ó»s¹Ïªº¥Øªº¡A¦ý«o¦³¨ä¥¦ªºÀuÂI¡C¶É±×·Ó¹³»P¤HÃþ¼ô±xªºÆ[¬Ý¨¤«×¬Û¦P¡A¦]¦¹³oºØ¹³¤ù®e©ö§PÃÑ¡C¶É±×·Ó¹³©çÄ᪺¹³¤ù¡AÁöµM¬n¦±¤F¦a±´ºª«ªº´X¦ó¥~§Î¡A¦ý¬O¸g¹L¾A·íªºªÈ¥¿¡B¶É±×¤ÀªR«á¡A¥i¥HÂàø¦¨¥i±µ¨üªº¦a¹Ï¡C»P««ª½¯èªÅ·Ó¹³¬Û¸û¡A¶É±×¯èªÅ·Ó¹³¤w¬Æ¤Ö¨Ï¥Î¡C
72
Map Generalization ¦a¹ÏÁY½s
»P¡§Â²¬ù¤Æ(ÁY½s)¡¨(Generalization) ¦P¸q¡C
73
Map Projection ¦a¹Ï§ë¼v
¤@ºØ¼Æ¾Ç¼Ò¦¡¡A¥Î¨ÓÂà´«¦a²yªí±ªº²y±¦ì¸m¨ì¦a¹Ï¤Wªº¥±¦ì¸m¡C
¦a²y¬O¤@Ó¾ï¤l§Îª¬ªº±ÛÂà¾ò¶êÅé¡A¬O¤@ºØ¤£¥i®i¶}ªº²yÅé¡An±N¥¦ªºªí±®i¶}¦¨¤@¥±¡A¨Æ¹ê¤W¬O¤£¥i¯àªº¡A°£«D±N¥¦³Îµõ¡C¦Ó¥B¦b³Îµõ®i¶}¦¨¥±«á¡A¤@©w·|µo¥ÍY¤zµõÁ_¡A¨Ï¦b¥±¤W¦aª«ªº§Îª¬¡B¤j¤p¡B¶ZÂ÷¡B¤è¦Vµ¥¡A³£©Mì¨Ó¦b¦a²y²y±¤Wªº¤£¤@¼Ë¡C¦]¦¹n±N¦a²yªí±¯à®i¶}¦¨¥±¡A´Nn¥ý±N¥¦ªºªí±§ë®g¨ì¤@Ó¥i®iÅ骺ªí±¤W¡A¨Ã¥BnÅU¼{¨ì®i¶}¦b¥±¤Wªº¦aª«§Îª¬¡B¤j¤p¡B¶ZÂ÷¡B¤è¦V¡A©Mì¨Ó¦b¦a²yªí±¤W¾¨¶q¬Ûªñ¦ü¡A¤£n¬Û®t¤Ó¤j¡A¥Hº¡¨¬§Ú̥ιϪºn¨D¡A³oºØ±N²y±§ë®g¨ì¥±ªº¤èªk¡AºÙ¤§¬°¦a¹Ï§ë¼v¡C
74
Mapjoin ¦a¹Ï±µ¦X
±µ¦X¼ÆÓ¤ÀÂ÷¦ý¬Û¾Fªº¦a¹Ï¹Ï´T¦¨¬°¤@´T¹Ïªº¦Û°Ê¤Æ³B²z¡C¨äµ²ªG¬O¤@´T¦ì¬Û¤@P¨Ã¥B¹Ï§Î³sÄòªº¦a¹Ï¡C
75
Masking ¾B½ª
±q±µÄòªº³B²z¤¤±Æ°£¼v¹³©Î¦a¹Ï¤¤¤§¤@³¡¥÷ªº³B²z¡C
76
Mercator Projection ³Á¥d¦«§ë¼v
¦¹§ë¼vªk«Y¤@¤¤»¤E¦~²üÄõ¦a¹Ï¾Ç®a³Á¥d¦« (Gerardus¡@Mercator) ©Ò³Ð»s¡A¬O¶ê¬W§ë¼vªº×¥¿¡A¬°¤F¹F¨ì¥¿§Îªº¥Øªº¡A±N¸g½n½uªº¶¡¹j¥[¥H¾A·íªº½Õ¾ã¦Ó¦¨¡A¨ä¸g½n½u¡A§¡¬°¥¦æ¥¿¥æ¡A¦U¸g½u¤§¶¡¶Z¬Ûµ¥¡A¦Ó½n½uªº¶¡¶Z¥Ñ¨ª¹D¦V¨â·¥³vº¥ÂX¤j¡A¥Ñ©ó¦U½n½u¶¡¶ZÂX¤j¤§¤ñ²v»P¸g½u¶¡¶ZÂX¤j¤ñ²v¬Û¦P¡A¬G¬°¥¿§Î¡A¦P®É§ë¼v¹Ï¤Wªº¸g½u³£¥¿½T¦a«ü¦V«n¥_¡A½n½u³£¥¿½T¦a«ü¦VªF¦è¡A¬G¨äùÚ¦V½u¬°ª½½u¡A¾A¥Î©óø»s®ü¹Ï¡A¦ý¦]±¿nªº»~®tÀHµÛ½n«×¼W¥[¦Ó¼W¥[¡A¨ì½n«×¤»¤Q«×³B¡A±¿n¤w¼W¥[¥|¿¡A¨â·¥«hµLªkµe¥X¡A¬G¤£¾A©óø»s¬Fªv»P¸gÀÙµ¥¤À§G¹Ï¡C
77
Mosaicking Æ^´O
(1) ¦bªÅ¶¡¸ê°T¨t²Î¤¤¡A»P¡§¦a¹Ï±µ¦X¡¨(Mapjoin) ¦P¸q¡C(2) ²Õ¦X´XÓÓ§Oªº¯èÄá¹³¤ù©Î¨ä¥¦ºØÃþªº¼v¹³¦¨¬°¤@Ӱϰ쪺¦X¦¨µø¹Ï¡C
78
Orthographical Projection ¥¿®g§ë¼v
¦¹§ë¼vªk«Y±N¥ú·½©ñ¸m¦b»P§ë¼v±¬Û¹ï¤§µL»·³B¡AµM«á±N¸g½n½uºô§ë¼v¨ì¥~¤Á¤§¥±¤W¡A¤@¦p±qµL»·³B²·±æ¦a²y¤@¼Ë¡C¬G¥çºÙ¥¿µø§ë¼v¡A©Îª½®g§ë¼v¡C¥Ñ©ó§ë¼v¥±¥i¥¿¹ï²y±¤§¥ô¦ó¤@ÂI¡A¬G¤S¥i¤À¬°·¥¡B¨ª¹D»P±×¶b¤TºØ¡C¦b¤ÁÂIªþªñ¡AµL½×±¿n¡B§Îª¬»P¤è¦V§¡±µªñ¥¿½T¡C¦Û¤¤¤ß¦V¥~¡A¨ä±¿n¨³³tÁY´î¡A¨¤«×ÅܧΫh«æ¼@¼W¥[¡A»P¤é´¾§ë¼vè¦n¬Û¤Ï¡A¨Ò¦p¶Z¤¤¤ß¤T¤Q«×³B¡A±¿n¤wÁY¤p¬°¤@¥b¡A½d³ò¥u©ó¥b²y¡A¬G¥Î³~¤£¤j¡A¦ý¨ä¥~§Î¤@¦p¦a²y·Ó¤ù¡A¬G¦bÃÀ³N¤W´yø¦a²yÅé©Î¤ë²y®É¡A¦h±Ä¥Î¦¹§ë¼vªk¡C
79
Overlay (1)Å|¹Ï (2)¹Ï¼h
¦¹¦Wµü¦³¨âºØ¤£¦Pªº¸ÑÄÀ¤Î͵ü¡G
(1) «Å|©Î¹ï»ô¨â±i©Î¦h±i¦a¹Ïªº³B²z¹Lµ{¡C§¹¦¨ªº¦a¹Ï¥]¬A¨âÓ¦a¹Ï¤¤¤w¿ï¾Ü¸ê®Æ¶µ¥Øªº¸ê°T¡C»P"Overlay Operation"¦P¸q¡C
(2) Ãö©ó¤@Ó¥DÃD¤§ªÅ¶¡¸ê®Æ¶°¦Xªº¤l¶°¦X¡C°Ñ¾\¡§¹Ï¼h¡¨(Coverage)¡B¡§¼h¡¨(Layer)¡C
80
Overlay Operation «Å|³B²z
±N¦P¤@°Ï°ì¤º¤£¦P¥DÃDªº¨â±i©Î¦h±i¦a¹Ï¦b¹q¸£¤º¶i¦æÅ|¦X¡A¥H±o¨ì¦P¤@ªÅ¶¡¦ì¸m¤£¦P¥DÃD¦a¹Ï¤¤¦UÂIªº¸ê°T¡C
81
Paging ¶Âಾ
(1) ¦bÀx¦s¨t²Î¶¡¡§¶¡¨(Page)ªºÂಾ¡C(2) ±N¹q¸£Àx¦s¾¹¦w±Æ¦¨©T©wªø«×ªº°Ï¶ô©M¶¤@ºØ²Õ´ªk¡C
82
Partition ¤À³Î
±N¤@¸ê®Æ¶°¦XªºÀx¦s¤ù¬q¤À¸Ñ¦¨¥iºÞ²zªº¤l¶°¦X¡C
83
Patch §½³¡¼W¸É
¤@Ó¤p°Ï°ì¬ÛÃöªº¸ê°T (³q±`¬°¤@¸û¤j½d³òªº¤j«¬ªÅ¶¡¸ê®Æ®wªº¤l¶°¦X) ¡A³Q¥[¨ì¤@Ó¸ê®Æ®w¥H´£ª@©Î¥[±K¥¦ªº¸ê®Æ¤º®e¡C
84
Pattern Recognition ¹Ï«¬ÃѧO
¤ñ¸ûª«¥ó¶¡ªº®t²§©ÎÃѧO¨ä¹Ï«¬¯S¼x¡A±Nª«¥ó¥[¥H¤ÀÃþªº¹Lµ{¡C
85
Polyconic Projection ¦h¶êÀ@§ë¼v
¦¹§ë¼vªk«Y±N¦a²yªí±¨Ì·Ó½n½u¤À¦¨³\¦h¯Uªø²y±a (Narrow Belts) ¡AµM«áªu¨C¤@±ø²y±a¥H¶êÀ@¥¿¤Á©ó²y±¡A¸g§ë¼v«á¡Aªu¸g½u¤Á½u¤Á¶}¦Ó¦¨¥±§ë¼v¹Ï¡C¦ý¹ê»Ú¤W¦h¶êÀ@§ë¼v«Y¤Wzì²z¤§×¥¿¡A§Y°²©w²y±a¬°µL¼Æ¡A®i¶}«á¥i¦¨¬°¤@³sÄò¤§§ë¼vºô¡A¤¤¥¡¸g½u¬°ª½½u¡AÁY¤Ø¥¿½T¡A¨ä¾l¸g½u§¡¬°¦±½u¡A¨äªø«×ÀHÂ÷¶}¤¤¥¡¸g½u¶ZÂ÷¼W¥[¦Ó¼W¥[¡A½n½u¬°¶ê©·¡A¦ý«D¦P¤ß¶ê¡Cªu½n½u¤§ÁY¤Ø¥¿½T¡A¨ª¹D¬°ª½½u¡A¬G¾A©óøµe«n¥_©µ®iªº°Ï°ì¦a¹Ï¡A¦¹¤@§ë¼v«Y¬ü°ê®ü©¤¤j¦a´ú¶q§½º¥ý±Ä¥Î¡A¬G¥çºÙ¬ü°ê¦h¶êÀ@§ë¼v (the American Polyconic Projection) ¡AÁö«D§¹¥þ¥¿§Î¡A¥ç«Dµ¥¿n¡A¦ý¦bªu¤¤¥¡¸g½u¤E¦Ê¤½¨½¥H¤º¡A¨ä»~®t¤£¤Î¦Ê¤À¤§¤@¡C¬G¬ü°ê®ü©¤¤j¦a´ú¶q§½»P¦a½è½Õ¬d©Ò (U.S.G.S.) ªº¹ê´ú¦a§Î¹Ï¨´¤µ¤´±Ä¥Î¦¹ºØ§ë¼v¡C
86
Polygonization ¦hÃä§Î¤Æ
±q¼Æ¤Æªº½u±ø¸ê®Æ²£¥Í¤@Ó¦hÃä§Î¹Ï¼h¡C¦hÃä§Î¤Æªº³B²z¹Lµ{¥i¯à¥]¬A¡G
¡E½uªº¥æ¤eÂIpºâ¡C
¡E¥¼±µ¦X¤Î¶W¥X½u¬qªº®ø°£¡C
¡E§Î¤ßªºpºâ¡C
¡Eµe¥X®q§Î¦hÃä§Îªº½ü¹ø¡C
87
Polyhedric Projection ¦h±Åé§ë¼v
¦¹§ë¼vªk¼Ú¬w°ê®a¦h¥Î¥Hø»s¤jÁY¤Ø¦a§Î¹Ï¡A¦]¬°¤@´T¤p°Ï°ì¦a¹Ï¡A¨ä¦a²yªí±¦±²v¹ê»Ú¤W¤w¤£«n¡A¦aªí¥iµø§@¬°¥±¡A¸g½n½u¥i¥Îª½½uªí¥Ü¡A³q±`¤¬¥æ¦¨±è§Î (Trapezoids) ¡A¦U¹Ï´T¸g«÷±µ«á¡A§Y¦¨¤@¦h±Åé§ë¼v¡A¨äøªk¦³¦hºØ¡A³q±`±N©Òø¦a°Ï³Ì¥~½t¤§¤G±ø¸g½u (©Î¤¤¥¡¸g½u) »P½n½u¥H¥¿¹êªø«×ø¦¨¤@±è§Î¡A¨ä¤º³¡¤§¸g½n½u«h¥iµ¥¤À¥|Ãä¡A³s±µ¬ÛÀ³¤ÀÂI§Y¦¨¡A¥H¤@´T¤p°Ï°ì¦a§Î¹Ï¨¥¡A¨ä»~®t¤£¯àºâ¤j¡C
88
Projection §ë¼v
(1) ¤@¹êª«¦b¥ú½uªº·Ó®g¤U©Ò±o¨ìªº³±¼v¡C(2) ¥ç³Q°µ¬°¦a¹Ï§ë¼vªºÂ²ºÙ¡C¦P¸qµü¬°¡§¦a¹Ï§ë¼v¡¨(Map Projection)¡C
89
Projection Change §ë¼vÂàÅÜ
±N¦a¹Ï¼ÆÈ¸ê®Æ±q¤@Ó¦a¹Ï§ë¼vÂà´«¨ì¥t¤@Ó¦a¹Ï§ë¼v¡C
90
Pruning §R´î
§R°£¤£¥²nªºª«¥ó©Î¨BÆJ¡A¨Ò¦p§R°£¼Æ¤Æ¹Lµ{¤¤¤£¥²nªºÂI¡C°Ñ¾\¡§§R°£ÂØÂI¡¨(Weeding)¡C
91
Rasterization ºô®æ¤Æ
(1) ±NªÅ¶¡¸ê°T½s½X¦¨¬°ºô®æ¸ê®Æµ²ºcªº³B²z¹Lµ{¡C(2) ³q±`¬O«ü¥Ñ¦V¶q¸ê®Æµ²ºcÂà´«¦¨¬°ºô®æ¸ê®Æµ²ºc¡C
92
Rectification ªÈ¥¿ªk
®ø¥h¦]Äá¼v¶b¶É±×©Ò¥Í¹³ÂI¦ì²¾ªº¤èªk¡A³q±`¤]¥]¬A¤ñ¨Ò¤Øªº§ï¥¿¡A¨Ï¨ä¦X¥G³W©w©Ò»Ýªº¼ÆÈ¡C
93
Reformat «Âà®æ¦¡
°Ñ¾\¡§®æ¦¡Âà´«¡¨(Format Conversion)¡C
94
Registration ®Õ¥¿¡B¹ï·Ç
´X¦ó½Õ®Õ¹ï»ô¨âөμÆÓ««ª½¨ÃÅ|ªº¦a§Î¸ê®Æ¶°¦X©Î¼ÆÈ¼v¹³¡A¥Hºû«ù»P¯u¹ê¦a²z¦ì¸mªº¹ï·ÇÃö«Y¡C
95
Relational Algebra ÃöÁp¦¡¥N¼Æ
ÃöÁp¹Bºâªº¤@Ó¶°¦X¡A¥]¬A²Ã¥dº¸¼¿n¡BÁp¶°¡B¥æ¶°¡B®t¤À¡B§ë¼v¡B¨î¡Bµ²¦X©M¤À³Îµ¥ÃöÁp¦¡¹Bºâªº²ÎºÙ¡C
96
Resampling ¦A¨ú¼Ë
(1) ¼ÆÈ¼v¹³³B²z¤¤¡A±qì©l¼ÆÈ¼v¹³¤Wªº¹³¤¸¤º´¡¦Ó¦¨¬°Âà´«¹Lªº¹³¤¸·s¦ì¸m¡A³q±`»P¦a²z¹ï·Çºô®æ¤@P¡C(2) ¦b²Õ¦¨ªÅ¶¡¨ç¼Æ¼Ò¦¡®É¡A¥Ñ²Õ¦¨¿é¤J¸ê®Æ¤l¶°¦X©Î¸g¥ÑÂk¯Çªk²£¥Í·s¸ê®Æ¶°¦X¡C
97
Rubber-Sheeting ¾ó¥Ö¦ùÁYªk
(1) ÅܧÎÂà´«¤@±i¦a¹Ï¨Ï±o»P¥t¤@±i°Ñ¦Ò¦a¹Ïªº¦ì¬ÛÃö«Y¤@P©Î±µªñ¤@Pªº¤èªk¡C(2) ¤@ºØÅܧΪººtºâªk¡A¢¨Ï¤À§G¦b¾ã´T¦a¹Ï¤§±±¨îÂI¹ï·Ç©ó¥t¤@±i«~½è¸û¦nªº¦a¹Ï¤Wªº±±¨îÂI¡C°Ñ¾\¡§ªÈ¥¿ªk¡¨(Rectification)¡C
98
Run-Length Coding ³sÄò§¡½è½s½Xªk
´î¤Ö¥ô¦ó«¬ºA¤§«ÂЦr¤¸¦ê¦C¼Æ¥Øªº¤@ºØÀ£ÁY¸ê®Æ®wªº¤èªk¡C¸g±`³Q¥Î¨ÓÀ£ÁY¼v¹³¸ê®Æ¡C
99
Simple Conic Projection ²³æ¶êÀ@§ë¼v
¦¹§ë¼vªk«Y¶êÀ@Åé»P¦a²y»ö¬Û¤Á¡A¸g§ë¼v«á®i¶}¦Ó¦¨¡A¬G¸g½u¬°¶¡¹j¬Ûµ¥¤§©ñ®gª½½u¡A½n½u¬°¶¡¶Z¬Ûµ¥¤§¦P¤ß¶ê¡C¸g½u»P¼Ð·Ç½n½u¤§ÁY¤Ø§¡¬°¥¿½T¡A¦]¤Á½u (¼Ð·Ç½n½u) ªþªñ»~®t³Ì¤p¡Aø»s²©ö¡A¬G¾A¥Î©óªF¦è©µ®i¤§¤¤½n¦a°Ï¹Ï¡C¦a¹Ï¶°¤¤¤×¦h±Ä¥Î¡C
100
Simplification ²³æ¤Æ
¦a¹Ï²¬ù¤Æªº¤@ºØ¤è¦¡¡A¥]¬A¸ê®Æ«n¯S¼xªº¨M©w¡A¤£«n²Ó¸`ªº®ø°£¤Î«n¯S©Êªº«O¯dµ¥¡C°Ñ¾\¡§Â²¬ù¤Æ (ÁY½s)¡¨(Generalization)¡C
101
Simulation ¼ÒÀÀ
¨t²Î°ÊºA¦æ¬°ªº¼Ò«¬¤Æ¡A®Ú¾Ú¤@Ó¤w©w¸qªk«hªº¶°¦X¨Ó²¾°Ê¼Ò«¬ªº¨CÓª¬ºA¡C
102
Smoothing ¥·Æ¤Æ
¸ê®Æ§½³¡Åܲ§©Êªº´î¤Ö¡C·íÀ³¥Î¦bªÅ¶¡¤À§GÅܼƤW¡A´î¤Ö§½³¡ªºÅܤƶq¡C¥·Æ¤ÆYÀ³¥Î¦b¤@±ø½u¤W·|³y¦¨½u¬q¤§¶¡¾U¨¤ªº´î¤Ö¡C°Ñ¾\¡§¹LÂo¡¨(Filtering)¡B¡§±µÃä³B²z¡¨(Edgematching)¡B¡§§R°£ÂØÂI¡¨(Weeding)¡B¡§²Ó½u¤Æ¡¨(Thinning)¡C
103
Sort ±Æ§Ç
¨Ì·ÓÃöÁäÄæ¦ì(Key)ªºÀu¥ý¶¶§Ç¥h±Æ¦C¤@Ó¸ê®Æ¶µ¥Ø¶°¦Xªº¹Bºâ¡C
104
Star Projection ¬Pª¬§ë¼v
¦¹ºØ§ë¼vªk«Y¥Î¬P§Îªí¥Ü¦a²yªí±ªº¤@ºØµ¥¶Z¥¿¤è¦ì§ë¼v¡A³q±`¥ýø¤@¥H¥_·¥¬°¤¤¤ßªºµ¥¶Z¥¿¤è¦ì§ë¼v¡A¦Ó±N«n¥b²y¤§¤j³°³¡¤Àªu®ü¬vÂ_µõ¦¨Y¤z¬P§Î¸¤ù¡A¨Ìªþ¦b¥_¥b²y¥|©P¡A¥Ñ©ó¬Pª¬¸¤ù¼Æ¥Ø¤£¦P¡A¥i¥H¦³¦UºØ¤£¦P¦WºÙ¡A¦p¤Ó¬Pª¬¸¤ù²Õ¦¨¤§¬P§Î§ë¼vºÙ¬°¬fô´µ§ë¼vªk (H.Berghaus)¥H¤KÓ¸¤ù²Õ¦¨¤§¬Pª¬§ë¼v«hºÙ¬°©¼¼w°Ò§ë¼vªk (A. Petermann) ¡C¦¹¤@§ë¼vªk¤§¯S¦â¦b¯à¨Ï¦U¤j³°«O«ù§¹¾ã»P¤ñ¸û¨}¦n¤§§Îª¬¡A¦ý®ü¬v³¡¤À«h¤£³sÄò¡A¬G¤@¯ë¹ê¥Î»ùȤ£¤j¡C
105
Subtraction ®t¶°
¤@ºØ¶°¦Xªº¹Bºâ¡C¨âÓ¶°¦X®t¶°ªºµ²ªG¡A¬O¤@Ó¤¸¯ÀÄÝ©ó²Ä¤@Ó¿é¤J¶°¦X¡A¨Ã¥B¤£¦s¦b©ó²Ä¤GÓ¿é¤J¶°¦X¤¤ªº¶°¦X¡C
106
Supervised Classification ºÊ·þ¦¡¤ÀÃþ
¼v¹³¤ÀÃþªº¤@ºØ¤è¦¡¡C¦b¹q¸£¤ÀÃþ«e¡A¥ý¥Ñ¤H¤u§PŪ¼v¹³¸ê®Æ¡C§ä¥X´XºØ¤£¦P¦a±Âл\ªº¼Ë¥»°Ï¡A¦A¥Ñ¹q¸£¨Ì¾Ú³o¨Ç¼Ë¥»°Ï¤ºªº¥úÃЩʽè¡A±N¼v¹³¤Wªº¨C¤@Ó¹³¤¸¤©¥H¤ÀÃþ¡C
107
Supervised Classification Algorithm ºÊ·þ¦¡¤ÀÃþºtºâªk
¦b¨üºÊ·þªº¤ÀÃþµ{¦¡ùØ¡A¨C¤@Ãþ¥Ø³£»Ýn¤@Ó°V½m¼Ë¥»¡A³oӼ˥»¥]§t¤@²Õ±q¤wª¾Ãþ¥Ø¤g¦aÂл\ª«¤WÀò¨úªº¸ê®ÆÂI¡C¦b¤ÀÃþ¹Lµ{¤¤¡A±N¬Y¤@¥¼ª¾ÂI¤ÀÃþ¬°¬Y¤@Ãþ¥Øªº¤èªk¬O¬Ý³o¤@¥¼ª¾ÂI¶ZÂ÷¨º¤@Ó°V½m¼Ë¥»³Ìªñ¡C¦b«¬¦¡ÃѧOµ{¦¡¤¤¡A©Ò¿×³Ìªñ©ó¬Y¤@°V½m¼Ë¥»¡A«Y«ü¦b´X¦ó©Ê¤Î²Îp¤Wªº¶ZÂ÷¡C¿ï¾Üªº°V½m¼Ë¥»¦h¼Æ¬O¤ÀªRªÌ»{¬°¨¬¥H¥Nªí¬Y¤@Ãþ¥Øªº¡C
108
Symbolization ²Å¸¹¤Æ
¦a¹Ï²¬ù¤Æ(ÁY½s)¤¤ªº¤@¶µ³B²z¡C¥H²Å¸¹¥N´À¦a¹Ï¤¸¯À¥H¶Ç»¼¥¦Ìªº¯S©Ê©ÎÅé¨t¡A¥iÂÇ¥H±j¤Æ¤@±i¦a¹Ï©Ò¥]§tªº¸ê°T¡C
109
Thinning ²Ó½u¤Æ
´î¤Ö¤@±ø½uªººô®æ§¤¼Ð¼Æ¶qªº³B²z¹Lµ{¡C³Ì±`¨Ï¥Î©ó±qºô®æ¦¨¬°¦V¶q®æ¦¡¤§½u±øÂà´«¡C¤@±ø½u³Q¡§²Ó½u¤Æ¡¨¬O¨M©w©ó¤@±ø½uªº¨CÓºô®æ³æ¤¸¥u»P¨ä¥¦¨âÓ«e«áªº³æ¤¸¾F±µ¡A¦ý©w¸q¬Û¦Pªº¹Ï¼x¡C
110
Topological Verification ¦ì¬Û¬d®Ö
¸ê®Æ¤¸¯À¤§¶¡¦ì¬ÛÃö«Yªº½T»{»P¬d®Ö¡C
111
Transaction ¥æ©ö(²§°Ê)³B²z
¤@Ó¸ê®Æ®w¤¤¤¸¯Àªº¼W¥[¡BÂ^¨ú¤Î§R°£¡C
112
Transaction Control ¥æ©ö(²§°Ê)³B²z±±¨î
¥æ©ö(²§°Ê)³B²zªººÞ²z¡A¥Hºû«ù¥æ©ö(²§°Ê)³B²zªº°lÂܤΰO¿ý¡A¨ÃÁ×§K¥æ©ö(²§°Ê)³B²zªº½Ä¬ð¡C
113
Transformation §¤¼ÐÂà´«
¤w©w¸q¤§¸ê®Æªº§¤¼Ð¨t²ÎÂà´«¡A¨Ò¦p±q¼Æ¤Æ§¤¼ÐÂà´«¨ì¦a¹Ï§¤¼Ð¡C
114
Transverse Mercator Projection ¾î³Á¥d¦«§ë¼v
¦¹§ë¼vªk«Y±Nºc¦¨´¶³q³Á¥d¦«§ë¼vªº««ª½¶ê¬WÅé²¾Âà¤E¤Q«×¡A¨Ï¶ê¬WÅéªu³q¹L«n¥_·¥¤§¸g½u°é»P¦a²y±¬Û¤Á¡C (©Î¥H²¤¤p©ó¦a²yª½®|¤§¶ê¬WÅé»P¦a²y±«n¥_¦V¬Û³Î¥ç¥i¡C¦¹ºØ§ë¼v¯à«O«ù¥¿§Î¯S©Ê¡A¨C¤@§ë¼v±a¤¤¡Aªu¼Ð·Ç¸g½u¤§ÁY¤Ø¬°¥¿½T¡A¨äªþªñ¤§±¿n»~®t¬Æ¤Ö¡A¦ý¨ä«í¦V½u¨Ã«D¬Oª½½u¡A¦]¥ô¦ó¤@±ø¸g½u°é§¡¥i§@¬°¼Ð·Ç¸g½u¡A¦]¦¹·¥¾A¦X¥Î¥Hø»s«n¥_¦V¤§Àô²y¯è¹Ï¤Î¹ê´ú¦a§Î¹Ï¡C¥çºÙ¬°°ª´µ¡Ð§J§f®æ¥¿§Î§ë¼v ( the Gauss-Krueger Conformal Projection) ¡C
115
Triangulation ¤T¨¤ºô¹º¤À
²Ó¤À¤@Ó¤G«×ªÅ¶¡¦¨¬°¤T¨¤§Î°Ï°ì¬Éªº¤@ºØ³B²z¹Lµ{¡C°Ñ¾\¡§¤£³W«h¤T¨¤ºô¡¨(TIN)¡C
116
Two Degree Zone Transverse Mercator Projection ¤G«×¤À±a¾î³Á¥d¦«§ë¼v(¤G«×TM§ë¼v)
¥xÆW¦a°Ï¸g«Øª©¦a§Î¹Ï¤Î¹³¤ù°ò¥»¹Ï©Ò±Ä¥Îªº§¤¼Ð¨t²Î¬°¤G«×TM§ë¼v§¤¼Ð¨t²Î¡A¬O¥H¤½¤Ø¬°³æ¦ì¡C·sªº¦aÄy¹Ï¥ç±Ä¥Î¤G«×TM¨t²Î¡C¥xÆW¦a°Ïªº¤G«× TM§ë¼v¨t²Î¤D¬O¥HªF¸g121«×¬°¤¤¥¡¼Ð·Ç¸g½u¡A¥ª¥k¦U¸ó¤@«×¡A¤¤¥¡¼Ð·Ç¸g½uªº¤ñ¨ÒÁY¤Ø¬°0.9999¡AìÂI¦V¥ª¾î²¾25¸U¤½¤Ø¡A§ë¼v©Ò¥Îªº¦a²y¾ò²yÅ鬰 Australian ¡C¥xÆW¦a°Ï²Ä¤@ª©¹³¤ù°ò¥»¹Ï±q¹Å¸q¥H«nì¥ý±Ä¥Î¥Î¤»«× TM (§YUTM) ¡A¦´Áªº¦a§Î¹Ï¤Î¤gÄ[¹Ï§¡±Ä¥Î¤»«×TM¡A¨ä¤¤¥¡¼Ð·Ç¸g½u¬°ªF¸g123«×¡A¥ª¥k¦U¸ó¤T«×¡A¤¤¥¡¼Ð·Ç¸g½uªº¤ñ¨ÒÁY¤Ø¬°0.9996¡AìÂI¦V¥ª¾î²¾50¸U¤½¤Ø¡A§ë¼v©Ò¥Îªº¦a²y¾ò²yÅ鬰INT1909¡C
117
Union Áp¶°
¤@ºØ¶°¦Xªº¹Bºâ¡C¤@¨Ç¶°¦XªºÁp¶°µ²ªG±N·|¬O¤@Ó¥]¬A©Ò¦³¿é¤J¶°¦X¤¸¯Àªº¶°¦X¡C
118
Universal Transverse Mercator (UTM) Àô²y¾î³Á¥d¦«§ë¼v
¥H¾î³Á¥d¦«§ë¼v (Transverse Mercator) ¬°°ò¦ªº¤@ºØºô®æ§¤¼Ð¨t²Î¡A¥B¦b¦a²z¸ê°T¨t²Î¤¤¸g±`¨Ï¥Î¡C¦b«n¥_½n80«×»P84«×¶¡¡A¥H¸g«×6«×ªu¨ª¹D¦Û¦è¸g180«×°_¦VªF±Àºâ¡A¥u¹º¤À¬°«n¥_¦V60±a¡A¨Ì¦¸½s¥H1-60¤§ªü©Ô§B¼Æ¦r¡C½n«×¤À¬°°Ï¡A¨C°Ï¢·«×¡A¦Û«n½n80«×°_ºâ¡A¨ì¥_½n84«×¤î¡A¦@¤À20°Ï¡A¨Ì¦¸¥H¢Ñ¨ì¢èªí¥Ü (¢×,¢Ý¤£¥Î) ¡CUTM¦b°ê¤º¥ç²ºÙ¬°¤»«×¤À±a TM¡C
119
Unsupervised Classification Algorithm «DºÊ·þ©Ê¤ÀÃþºtºâªk
¦b¥¼¨üºÊ·þªº¤ÀÃþµ{¦¡ùØ¡A¥¼ª¾ªº¸ê®ÆÂI¨Ã¤£»P°V½m¼Ë¥»ªº¸ê®Æ¤ñ¸û¡C¦b³oÓµ{¦¡¤¤¡A¥ýÀ˵ø¤j¶qªº¥¼ª¾¸ê®Æ¦V¶qÈ¡AµM«á®Ú¾Ú³o¨Ç¸ê®Æªº¥»©Ê±N¥¦Ì¤À¦¨¤£¦Pªº±Ú¸s (¥çºÙ¸s¶°°é) Ãþ¥Ø¡C¦]¦¹Ãþ¥Ø¶¡¤§°Ï§O¥i¨£©ó¸ê®Æªº¥»¨¡C¹ê»Ú¤W¡A¦P¤@Ãþ¥Øªº¸ê®Æ¦V¶qÂI¦b¸ê®Æ¦V¶qªÅ¶¡¹Ï¤W¦ì¸m¬Ûªñ¡A¤£¦PÃþ¥Øªº¦V¶qÂI«h¦b¹Ï¤W»·»·¬Û¹j¡C¦pªG¸ê®Æ¦V¶qªº¤À¦V¶q¥Nªí¤£¦Pªi¬qªº¤ÏÀ³¡A«h³Ì²×ªºÃþ¥Ø§Y¥iºÙ¬°ªiÃÐÃþ¥Ø (Spectral Classes) ¡A¥H»P±¡³ø¸ê®ÆÃþ¥Ø ( Information) °Ï§O¡C±¡³ø¸ê®ÆÃþ¥Ø¬O«ü¤ÀªRªÌÃö¤ßªº¦a±Âл\ª«Ãþ«¬¡C
120
UTM Àô²y¾î³Á¥d¦«§ë¼v
Universal Transverse Mercator ªºÂ²ºÙ¡C
121
Vectorization ¦V¶q¤Æ
(1) ±NªÅ¶¡¸ê®Æ±q¥ô¦ó¨ä¥¦«¬¦¡ªº¸ê®Æµ²ºcÂà´«¦¨¦V¶q¸ê®Æµ²ºc¡C(2) ³q±`«üºô®æ¸ê®Æµ²ºcªº¬Y¨Ç¸ê®Æ¶°¦XÂà´«¦¨¦V¶q¸ê®Æµ²ºc¡C
122
Vertical Integration ««ª½¾ã¦X
±N¼ÆÓ¦ì¬Û«Å|ªº¦a¹ÏÀÉ®×¾ã¦X¦¨¬°¤@±i¦a¹Ï¡A¨ä¤º®e¥]¬A©Ò¦³¿é¤J¹Ï¼h¸ê®Æªº²Õ¦X¡A¨Ã¥H¥Ø«e¨t²Îªº¥¿½T®æ¦¡¨Óªí¥Ü¡C°Ñ¾\¡§Å|¹Ï¡¨(Overlay)¡C
123
Weeding §R°£ÂØÂI
¦bºû«ùì¨Ó½u±ø§Îª¬ªºì«h¤U¡A´î¤Ö©w¸q¤@±ø½uªºÂI¼Æ¶q¡C°Ñ¾\¡§¥·Æ¤Æ¡¨(Smoothing)¡B¡§²Ó½u¤Æ¡¨(Thinning)¡C¤@¯ë§R°£ÂØÂIªººtºâªk¥]¬A¡G
1.¶ZÂ÷¾î¤Áºtºâªk¡C
2.²ÄNÂI¿ï¨úºtºâªk¡C
3.¥§¡²¾°Êºtºâªk¡C
4.¨¤«×¿ï¨úºtºâªk¡C
5.«Â·G¤ó (William) ÂIÃP¦¢ºtºâªk¡C
6.¯BÂIªi¬qºtºâªk¡C
7.¹D®æ©Ô´µ¡Ð¬£§Jº¸ (Douglas-Peucker) ºtºâªk¡C
8.²¾°Ê¦¡¤À°tªÌºtºâªk¡C
124
Zenithal Projection ¥¿¤è¦ì§ë¼v
»P¡§¥¿¤è¦ì§ë¼v¡¨(Azimuthal Projection) ¦P¸q¡C
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