小 (Katty von Keksburg移动页面State traits至地区特质) |
无编辑摘要 |
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一些地区有提供增益或减益'''地区特质''' 。地区特质是固定的,并且不随着游戏进行改变,但是某些科技能够使 [[File:State trait malaria.png|21px|Malaria]] (恶性)疟疾失效。 | |||
== 地区特质列表 == | == 地区特质列表 == | ||
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|- | |- | ||
| id="Alps Mountain Range" data-sort-value="State trait mountain.png" |[[File:State trait mountain.png|75px|Alps Mountain Range]] | | id="Alps Mountain Range" data-sort-value="State trait mountain.png" |[[File:State trait mountain.png|75px|Alps Mountain Range]] | ||
| | | 阿尔卑斯山脉 | ||
| | | | ||
* {{red|−15.0%}} | * {{red|−15.0%}} 地区建造力效率 | ||
* {{red|−15.0%}} | * {{red|−15.0%}} 基础设施 | ||
|Lombardy, Piedmont, Savoy, Tyrol, South Tyrol, East Switzerland, West Switzerland | |Lombardy, Piedmont, Savoy, Tyrol, South Tyrol, East Switzerland, West Switzerland | ||
| | | | ||
|- | |- | ||
| id="Amazon Rainforest" data-sort-value="State trait resources_lumber.png" |[[File:State trait resources_lumber.png|75px|Amazon Rainforest]] | | id="Amazon Rainforest" data-sort-value="State trait resources_lumber.png" |[[File:State trait resources_lumber.png|75px|Amazon Rainforest]] | ||
| | | 亚马逊雨林 | ||
| | | | ||
* {{green|+25.0%}} | * {{green|+25.0%}} 建筑{{icon|hardwood}} 硬木产出 | ||
* {{red|−33.0%}} | * {{red|−33.0%}} 地区建造力效率 | ||
* {{red|−33.0%}} | * {{red|−33.0%}} 基础设施 | ||
|Guayana, Bolívar, Guaviare, Pastaza, Santa Cruz, La Paz, Pará, Maranhão, Amazonas, Acre, Goiás, Mato Grosso | |Guayana, Bolívar, Guaviare, Pastaza, Santa Cruz, La Paz, Pará, Maranhão, Amazonas, Acre, Goiás, Mato Grosso | ||
| | | | ||
第29行: | 第29行: | ||
|Amazon River | |Amazon River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
| | | | ||
| | | | ||
|- | |- | ||
| id="American Chestnut Forests" data-sort-value="State trait resources_lumber.png" |[[File:State trait resources_lumber.png|75px|American Chestnut Forests]] | | id="American Chestnut Forests" data-sort-value="State trait resources_lumber.png" |[[File:State trait resources_lumber.png|75px|American Chestnut Forests]] | ||
| | | 美洲栗林 | ||
| | | | ||
* {{green|+25.0%}} | * {{green|+25.0%}} 建筑{{icon|hardwood}} 硬木产出 | ||
|New York, Virginia, Kentucky, Tennessee, Mississippi, Alabama, West Virginia, Pennsylvania, Rhode Island, Connecticut, Massachusetts, New Hampshire, Vermont, Maine | |New York, Virginia, Kentucky, Tennessee, Mississippi, Alabama, West Virginia, Pennsylvania, Rhode Island, Connecticut, Massachusetts, New Hampshire, Vermont, Maine | ||
| | | | ||
|- | |- | ||
| id="Andes" data-sort-value="State trait mountain.png" |[[File:State trait mountain.png|75px|Andes]] | | id="Andes" data-sort-value="State trait mountain.png" |[[File:State trait mountain.png|75px|Andes]] | ||
| | | 安第斯山脉 | ||
| | | | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 地区建造力效率 | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 基础设施 | ||
|Ecuador, Zulia, Antioquía, Cundinamarca, Cauca, Tarapacá, Antofagasta, La Paz, Potosí, Cajamarca, Lima, Ica, Arequipa, Jujuy, Tucumán, Santiago, Los Ríos, Araucania | |Ecuador, Zulia, Antioquía, Cundinamarca, Cauca, Tarapacá, Antofagasta, La Paz, Potosí, Cajamarca, Lima, Ica, Arequipa, Jujuy, Tucumán, Santiago, Los Ríos, Araucania | ||
| | | | ||
|- | |- | ||
| id="Antarctic Whaling" data-sort-value="State trait resources_whales.png" |[[File:State trait resources_whales.png|75px|Antarctic Whaling]] | | id="Antarctic Whaling" data-sort-value="State trait resources_whales.png" |[[File:State trait resources_whales.png|75px|Antarctic Whaling]] | ||
| | | 南极捕鲸业 | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 捕鲸业[[Throughput| 吞吐量]] | ||
|South Atlantic Islands | |South Atlantic Islands | ||
| | | | ||
|- | |- | ||
| id="Appalachian Mountains" data-sort-value="State trait mountain.png" |[[File:State trait mountain.png|75px|Appalachian Mountains]] | | id="Appalachian Mountains" data-sort-value="State trait mountain.png" |[[File:State trait mountain.png|75px|Appalachian Mountains]] | ||
| | | 阿巴拉契亚山脉 | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 煤矿建筑[[Throughput| 吞吐量]] | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 地区建造力效率 | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 基础设施 | ||
|Virginia, Kentucky, West Virginia, Pennsylvania, North Carolina | |Virginia, Kentucky, West Virginia, Pennsylvania, North Carolina | ||
| | | | ||
|- | |- | ||
| id="Arabian Desert" data-sort-value="State trait dry_climate.png" |[[File:State trait dry_climate.png|75px|Arabian Desert]] | | id="Arabian Desert" data-sort-value="State trait dry_climate.png" |[[File:State trait dry_climate.png|75px|Arabian Desert]] | ||
| | | 阿拉伯沙漠 | ||
| | | | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 农业吞吐量 | ||
* {{red|−25.0%}} | * {{red|−25.0%}} 地区建造力效率 | ||
* {{red|−25.0%}} | * {{red|−25.0%}} 基础设施 | ||
|Nejd, Hail, Baghdad | |Nejd, Hail, Baghdad | ||
| | | | ||
|- | |- | ||
| id="Arctic Whaling" data-sort-value="State trait resources_whales.png" |[[File:State trait resources_whales.png|75px|Arctic Whaling]] | | id="Arctic Whaling" data-sort-value="State trait resources_whales.png" |[[File:State trait resources_whales.png|75px|Arctic Whaling]] | ||
| | | 北极捕鲸业 | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 捕鲸业[[Throughput| 吞吐量]] | ||
|Northern Norway, Iceland, Greenland | |Northern Norway, Iceland, Greenland | ||
| | | | ||
|- | |- | ||
| id="Australian Desert" data-sort-value="State trait dry_climate.png" |[[File:State trait dry_climate.png|75px|Australian Desert]] | | id="Australian Desert" data-sort-value="State trait dry_climate.png" |[[File:State trait dry_climate.png|75px|Australian Desert]] | ||
| | | 澳大利亚沙漠 | ||
| | | | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 农业[[Throughput| 吞吐量]] | ||
* {{red|−25.0%}} | * {{red|−25.0%}} 地区建造力效率 | ||
* {{red|−25.0%}} | * {{red|−25.0%}} 基础设施 | ||
|South Australia, Western Australia, Northern Territory | |South Australia, Western Australia, Northern Territory | ||
| | | | ||
|- | |- | ||
| id="Bengal Delta" data-sort-value="State trait river.png" |[[File:State trait river.png|75px|Bengal Delta]] | | id="Bengal Delta" data-sort-value="State trait river.png" |[[File:State trait river.png|75px|Bengal Delta]] | ||
| | | 孟加拉三角洲 | ||
| | | | ||
* {{green|+25.0%}} | * {{green|+25.0%}} 农业[[Throughput| 吞吐量]] | ||
|South Bengal | |South Bengal | ||
| | | | ||
|- | |- | ||
| id="Bergslagen" data-sort-value="State trait resources_ore.png" |[[File:State trait resources_ore.png|75px|Bergslagen]] | | id="Bergslagen" data-sort-value="State trait resources_ore.png" |[[File:State trait resources_ore.png|75px|Bergslagen]] | ||
| | | 贝里斯拉根矿区 | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 铁矿建筑[[Throughput| 吞吐量]] | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 铅矿建筑[[Throughput| 吞吐量]] | ||
|Svealand | |Svealand | ||
| | | | ||
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|Bone Valley | |Bone Valley | ||
| | | | ||
* {{green|+10.0%}} Sulfur Mines | * {{green|+10.0%}} Sulfur Mines 建筑[[Throughput| 吞吐量]] | ||
|Florida | |Florida | ||
| | | | ||
|- | |- | ||
| id="Borinage Coalfield" data-sort-value="State trait resources_ore.png" |[[File:State trait resources_ore.png|75px|Borinage Coalfield]] | | id="Borinage Coalfield" data-sort-value="State trait resources_ore.png" |[[File:State trait resources_ore.png|75px|Borinage Coalfield]] | ||
| | | 博里纳日煤田 | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 煤矿建筑[[Throughput| 吞吐量]] | ||
|Wallonia | |Wallonia | ||
| | | | ||
|- | |- | ||
| id="Borneo Rainforest" data-sort-value="State trait resources_lumber.png" |[[File:State trait resources_lumber.png|75px|Borneo Rainforest]] | | id="Borneo Rainforest" data-sort-value="State trait resources_lumber.png" |[[File:State trait resources_lumber.png|75px|Borneo Rainforest]] | ||
| | | 婆罗洲雨林 | ||
| | | | ||
* {{green|+25.0%}} | * {{green|+25.0%}} 建筑{{icon|hardwood}} 硬木产出 | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 地区建造力效率 | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 基础设施 | ||
|North Borneo, West Borneo, East Borneo | |North Borneo, West Borneo, East Borneo | ||
| | | | ||
|- | |- | ||
| id="Brahmaputra River" data-sort-value="State trait river.png" |[[File:State trait river.png|75px|Brahmaputra River]] | | id="Brahmaputra River" data-sort-value="State trait river.png" |[[File:State trait river.png|75px|Brahmaputra River]] | ||
| | | 布拉马普特拉河 | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Assam | |Assam | ||
| | | | ||
|- | |- | ||
| id="Bremerhaven" data-sort-value="State trait natural_harbors.png" |[[File:State trait natural_harbors.png|75px|Bremerhaven]] | | id="Bremerhaven" data-sort-value="State trait natural_harbors.png" |[[File:State trait natural_harbors.png|75px|Bremerhaven]] | ||
| | | 不来梅港 | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 造船厂建筑[[Throughput| 吞吐量]] | ||
* {{green|+2}} | * {{green|+2}} 港口最大等级 | ||
* {{green|+10}} | * {{green|+10}} 海军基地最大等级 | ||
|Elbe | |Elbe | ||
| | | | ||
第146行: | 第146行: | ||
|Burmese Teak | |Burmese Teak | ||
| | | | ||
* {{green|+25.0%}} | * {{green|+25.0%}} 建筑{{icon|hardwood}} 硬木产出 | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 地区建造力效率 | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 基础设施 | ||
|Kachin, Shan States, Burma, Pegu | |Kachin, Shan States, Burma, Pegu | ||
| | | | ||
第155行: | 第155行: | ||
|Cascades | |Cascades | ||
| | | | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 地区建造力效率 | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 基础设施 | ||
|Washington, Oregon | |Washington, Oregon | ||
| | | | ||
第163行: | 第163行: | ||
|Caucasus Mountain Range | |Caucasus Mountain Range | ||
| | | | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 地区建造力效率 | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 基础设施 | ||
|Azerbaijan, Greater Caucasus | |Azerbaijan, Greater Caucasus | ||
| | | | ||
第171行: | 第171行: | ||
|Cauvery Delta | |Cauvery Delta | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 农业[[Throughput| 吞吐量]] | ||
|Madras | |Madras | ||
| | | | ||
第178行: | 第178行: | ||
|Central American Cordilleras | |Central American Cordilleras | ||
| | | | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 地区建造力效率 | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 基础设施 | ||
|San Salvador, Guatemala, Honduras, Nicaragua, Costa Rica, Chiapas | |San Salvador, Guatemala, Honduras, Nicaragua, Costa Rica, Chiapas | ||
| | | | ||
第186行: | 第186行: | ||
|Central Belt Coalfield | |Central Belt Coalfield | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 煤矿 建筑[[Throughput| 吞吐量]] | ||
|Lowlands | |Lowlands | ||
| | | | ||
第193行: | 第193行: | ||
|Central Valley | |Central Valley | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 农业[[Throughput| 吞吐量]] | ||
|California | |California | ||
| | | | ||
第200行: | 第200行: | ||
|Chao Phraya Delta | |Chao Phraya Delta | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 农业[[Throughput| 吞吐量]] | ||
|Bangkok | |Bangkok | ||
| | | | ||
第207行: | 第207行: | ||
|Chincha Islands | |Chincha Islands | ||
| | | | ||
* {{green|+20.0%}} Sulfur Mines | * {{green|+20.0%}} Sulfur Mines 建筑[[Throughput| 吞吐量]] | ||
|Lima | |Lima | ||
| | | | ||
第214行: | 第214行: | ||
|Christianiafjorden | |Christianiafjorden | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 造船厂建筑[[Throughput| 吞吐量]] | ||
* {{green|+2}} | * {{green|+2}} 港口最大等级 | ||
* {{green|+10}} | * {{green|+10}} 海军基地最大等级 | ||
|Eastern Norway | |Eastern Norway | ||
| | | | ||
第223行: | 第223行: | ||
|Columbia River | |Columbia River | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Washington, Oregon, British Columbia | |Washington, Oregon, British Columbia | ||
| | | | ||
第230行: | 第230行: | ||
|Congo River | |Congo River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Congo, Congo Orientale, Bas-Congo, Equateur | |Congo, Congo Orientale, Bas-Congo, Equateur | ||
| | | | ||
第237行: | 第237行: | ||
|Congolian Rainforest | |Congolian Rainforest | ||
| | | | ||
* {{green|+25.0%}} | * {{green|+25.0%}} 建筑{{icon|hardwood}} 硬木产出 | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 地区建造力效率 | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 基础设施 | ||
|Congo, Congo Orientale, Kasai, Bas-Congo, Equateur | |Congo, Congo Orientale, Kasai, Bas-Congo, Equateur | ||
| | | | ||
第246行: | 第246行: | ||
|Danube River | |Danube River | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Dobrudja, Bulgaria, Slavonia, Northern Serbia, Central Hungary, Transdanubia, Délvidék, West Slovakia, Wallachia, Austria, Bavaria | |Dobrudja, Bulgaria, Slavonia, Northern Serbia, Central Hungary, Transdanubia, Délvidék, West Slovakia, Wallachia, Austria, Bavaria | ||
| | | | ||
第253行: | 第253行: | ||
|Dnieper River | |Dnieper River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Kiev, Luhansk, Cherson | |Kiev, Luhansk, Cherson | ||
| | | | ||
第260行: | 第260行: | ||
|Drava River | |Drava River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Slovenia, Croatia, Styria | |Slovenia, Croatia, Styria | ||
| | | | ||
第267行: | 第267行: | ||
|El Mutún | |El Mutún | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 铁矿建筑[[Throughput| 吞吐量]] | ||
|Santa Cruz | |Santa Cruz | ||
| | | | ||
第274行: | 第274行: | ||
|Elbe River | |Elbe River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Bohemia, Elbe, Anhalt, Saxony | |Bohemia, Elbe, Anhalt, Saxony | ||
| | | | ||
第281行: | 第281行: | ||
|Euphrates River | |Euphrates River | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Syria, Aleppo, Baghdad, Basra, Diyarbakir, Adana | |Syria, Aleppo, Baghdad, Basra, Diyarbakir, Adana | ||
| | | | ||
第288行: | 第288行: | ||
|Floridian Wetlands | |Floridian Wetlands | ||
| | | | ||
* {{red|−15.0%}} | * {{red|−15.0%}} 地区建造力效率 | ||
* {{red|−15.0%}} | * {{red|−15.0%}} 基础设施 | ||
|Florida | |Florida | ||
| | | | ||
第296行: | 第296行: | ||
|Ganges River | |Ganges River | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 农业[[Throughput| 吞吐量]] | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Bihar, North Bengal, Delhi, Awadh | |Bihar, North Bengal, Delhi, Awadh | ||
| | | | ||
第304行: | 第304行: | ||
|Gobi Desert | |Gobi Desert | ||
| | | | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 农业[[Throughput| 吞吐量]] | ||
* {{red|−25.0%}} | * {{red|−25.0%}} 地区建造力效率 | ||
* {{red|−25.0%}} | * {{red|−25.0%}} 基础设施 | ||
|Alxa, Monan | |Alxa, Monan | ||
| | | | ||
第313行: | 第313行: | ||
|Good Soils | |Good Soils | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 农业[[Throughput| 吞吐量]] | ||
|Central India, Gotland, Jutland, Home Counties, East Anglia, Île-de-France, Picardy, Champagne, Orléans | |Central India, Gotland, Jutland, Home Counties, East Anglia, Île-de-France, Picardy, Champagne, Orléans | ||
| | | | ||
第320行: | 第320行: | ||
|Grand Banks Fisheries | |Grand Banks Fisheries | ||
| | | | ||
* {{green|+20.0%}} Fishing Industry [[Throughput| | * {{green|+20.0%}} Fishing Industry [[Throughput| 吞吐量]] | ||
|Newfoundland | |Newfoundland | ||
| | | | ||
第327行: | 第327行: | ||
|Great Dividing Range | |Great Dividing Range | ||
| | | | ||
* {{red|−15.0%}} | * {{red|−15.0%}} 地区建造力效率 | ||
* {{red|−15.0%}} | * {{red|−15.0%}} 基础设施 | ||
|New South Wales, Queensland | |New South Wales, Queensland | ||
| | | | ||
第335行: | 第335行: | ||
|Great Lakes | |Great Lakes | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Wisconsin, Michigan, Ontario | |Wisconsin, Michigan, Ontario | ||
| | | | ||
第342行: | 第342行: | ||
|Halifax Harbor | |Halifax Harbor | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 造船厂建筑[[Throughput| 吞吐量]] | ||
* {{green|+2}} | * {{green|+2}} 港口最大等级 | ||
* {{green|+10}} | * {{green|+10}} 海军基地最大等级 | ||
|New Brunswick | |New Brunswick | ||
| | | | ||
第351行: | 第351行: | ||
|Hardangerfjorden | |Hardangerfjorden | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 造船厂建筑[[Throughput| 吞吐量]] | ||
* {{green|+3}} | * {{green|+3}} 港口最大等级 | ||
* {{green|+15}} | * {{green|+15}} 海军基地最大等级 | ||
|Western Norway | |Western Norway | ||
| | | | ||
第360行: | 第360行: | ||
|Indochinese Forests | |Indochinese Forests | ||
| | | | ||
* {{green|+10.0%}} Logging Industry [[Throughput| | * {{green|+10.0%}} Logging Industry [[Throughput| 吞吐量]] | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 地区建造力效率 | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 基础设施 | ||
|Cambodia, Tonkin, Annam, Mekong, Laos, Nakhon Ratchasima | |Cambodia, Tonkin, Annam, Mekong, Laos, Nakhon Ratchasima | ||
| | | | ||
第369行: | 第369行: | ||
|Indus River | |Indus River | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Kashmir, Punjab, Sindh, Pashtunistan | |Kashmir, Punjab, Sindh, Pashtunistan | ||
| | | | ||
第376行: | 第376行: | ||
|Indus Valley | |Indus Valley | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 农业[[Throughput| 吞吐量]] | ||
|Punjab, Sindh | |Punjab, Sindh | ||
| | | | ||
第383行: | 第383行: | ||
|Irrwaddy Delta | |Irrwaddy Delta | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 农业[[Throughput| 吞吐量]] | ||
|Pegu | |Pegu | ||
| | | | ||
第390行: | 第390行: | ||
|Kapuas River | |Kapuas River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|West Borneo | |West Borneo | ||
| | | | ||
第397行: | 第397行: | ||
|Kongsberg | |Kongsberg | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 铁矿建筑[[Throughput| 吞吐量]] | ||
|Eastern Norway | |Eastern Norway | ||
| | | | ||
第404行: | 第404行: | ||
|Krka Falls | |Krka Falls | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 建筑{{icon|electricity}} Electricity output | ||
|Dalmatia | |Dalmatia | ||
| | | | ||
第411行: | 第411行: | ||
|La Costa | |La Costa | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 农业[[Throughput| 吞吐量]] | ||
|Ecuador | |Ecuador | ||
| | | | ||
第418行: | 第418行: | ||
|Lake Maracaibo | |Lake Maracaibo | ||
| | | | ||
* {{green|+20.0%}} Fishing Industry [[Throughput| | * {{green|+20.0%}} Fishing Industry [[Throughput| 吞吐量]] | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Zulia | |Zulia | ||
| | | | ||
第426行: | 第426行: | ||
|Lake Victoria | |Lake Victoria | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Tanganyika, Rift Valley, Uganda | |Tanganyika, Rift Valley, Uganda | ||
| | | | ||
第433行: | 第433行: | ||
|Lancashire Coalfield | |Lancashire Coalfield | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 煤矿 建筑[[Throughput| 吞吐量]] | ||
|Lancashire | |Lancashire | ||
| | | | ||
第440行: | 第440行: | ||
|Loire Coalfield | |Loire Coalfield | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 煤矿 建筑[[Throughput| 吞吐量]] | ||
|Rhone | |Rhone | ||
| | | | ||
第447行: | 第447行: | ||
|Loire River | |Loire River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Loire, Brittany, Burgundy, Orléans | |Loire, Brittany, Burgundy, Orléans | ||
| | | | ||
第454行: | 第454行: | ||
|London Docklands | |London Docklands | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 造船厂建筑[[Throughput| 吞吐量]] | ||
* {{green|+3}} | * {{green|+3}} 港口最大等级 | ||
* {{green|+15}} | * {{green|+15}} 海军基地最大等级 | ||
|Home Counties | |Home Counties | ||
| | | | ||
第472行: | 第472行: | ||
|Malmberget | |Malmberget | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 铁矿建筑[[Throughput| 吞吐量]] | ||
|Norrland | |Norrland | ||
| | | | ||
第479行: | 第479行: | ||
|Manila Bay | |Manila Bay | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 造船厂建筑[[Throughput| 吞吐量]] | ||
* {{green|+2}} | * {{green|+2}} 港口最大等级 | ||
* {{green|+10}} | * {{green|+10}} 海军基地最大等级 | ||
|Luzón | |Luzón | ||
| | | | ||
第488行: | 第488行: | ||
|Mekong Delta | |Mekong Delta | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 农业[[Throughput| 吞吐量]] | ||
|Mekong | |Mekong | ||
| | | | ||
第495行: | 第495行: | ||
|Mekong River | |Mekong River | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Cambodia, Laos | |Cambodia, Laos | ||
| | | | ||
第502行: | 第502行: | ||
|Mississippi River | |Mississippi River | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Louisiana, Arkansas, Missouri, Iowa, Minnesota, Tennessee, Mississippi, Illinois | |Louisiana, Arkansas, Missouri, Iowa, Minnesota, Tennessee, Mississippi, Illinois | ||
| | | | ||
第509行: | 第509行: | ||
|Natural Harbors | |Natural Harbors | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 造船厂建筑[[Throughput| 吞吐量]] | ||
* {{green|+2}} | * {{green|+2}} 港口最大等级 | ||
* {{green|+10}} | * {{green|+10}} 海军基地最大等级 | ||
|Jamaica, Cuba, East Java, Malta, Laristan, Gujarat, South Bengal, Madras, Bombay, West Prussia, Massachusetts, Svealand, Scania, Lancashire, East Anglia, West Country, Munster, Provence, Holland, Shaozhou, Southern Manchuria | |Jamaica, Cuba, East Java, Malta, Laristan, Gujarat, South Bengal, Madras, Bombay, West Prussia, Massachusetts, Svealand, Scania, Lancashire, East Anglia, West Country, Munster, Provence, Holland, Shaozhou, Southern Manchuria | ||
| | | | ||
第518行: | 第518行: | ||
|New Caledonian Nickel | |New Caledonian Nickel | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 铅矿 建筑[[Throughput| 吞吐量]] | ||
|Kanak | |Kanak | ||
| | | | ||
第525行: | 第525行: | ||
|New England Whaling | |New England Whaling | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 捕鲸业 [[Throughput| 吞吐量]] | ||
|Rhode Island, Connecticut, Massachusetts, New Hampshire, Maine | |Rhode Island, Connecticut, Massachusetts, New Hampshire, Maine | ||
| | | | ||
第532行: | 第532行: | ||
|New York Harbor | |New York Harbor | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 造船厂建筑[[Throughput| 吞吐量]] | ||
* {{green|+2}} | * {{green|+2}} 港口最大等级 | ||
* {{green|+10}} | * {{green|+10}} 海军基地最大等级 | ||
|New York | |New York | ||
| | | | ||
第541行: | 第541行: | ||
|Newark Harbor | |Newark Harbor | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 造船厂建筑[[Throughput| 吞吐量]] | ||
* {{green|+2}} | * {{green|+2}} 港口最大等级 | ||
* {{green|+10}} | * {{green|+10}} 海军基地最大等级 | ||
|New Jersey | |New Jersey | ||
| | | | ||
第550行: | 第550行: | ||
|Niagara Falls | |Niagara Falls | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 建筑{{icon|electricity}} Electricity output | ||
|New York, Ontario | |New York, Ontario | ||
| | | | ||
第557行: | 第557行: | ||
|Niger River | |Niger River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Eastern Mali, Western Mali, Timbuktu, Hausaland, Benin, Niger Delta, Outer Hausaland, Guinea | |Eastern Mali, Western Mali, Timbuktu, Hausaland, Benin, Niger Delta, Outer Hausaland, Guinea | ||
| | | | ||
第564行: | 第564行: | ||
|Nile River | |Nile River | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 农业[[Throughput| 吞吐量]] | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Lower Egypt, Upper Egypt, Middle Egypt | |Lower Egypt, Upper Egypt, Middle Egypt | ||
| | | | ||
第572行: | 第572行: | ||
|Nord-Pas-de-Calais Coalfield | |Nord-Pas-de-Calais Coalfield | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 煤矿 建筑[[Throughput| 吞吐量]] | ||
|Picardy | |Picardy | ||
| | | | ||
第579行: | 第579行: | ||
|North Sea Fishing | |North Sea Fishing | ||
| | | | ||
* {{green|+20.0%}} Fishing Industry [[Throughput| | * {{green|+20.0%}} Fishing Industry [[Throughput| 吞吐量]] | ||
|Western Norway, Northern Norway, Highlands, Lowlands | |Western Norway, Northern Norway, Highlands, Lowlands | ||
| | | | ||
第586行: | 第586行: | ||
|Northern California Coastal Forests | |Northern California Coastal Forests | ||
| | | | ||
* {{green|+20.0%}} Logging Industry [[Throughput| | * {{green|+20.0%}} Logging Industry [[Throughput| 吞吐量]] | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 地区建造力效率 | ||
|California | |California | ||
| | | | ||
第594行: | 第594行: | ||
|Northern Canadian Terrain | |Northern Canadian Terrain | ||
| | | | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 农业[[Throughput| 吞吐量]] | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 地区建造力效率 | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 基础设施 | ||
|Yukon Territory, Northwest Territories, Nunavut | |Yukon Territory, Northwest Territories, Nunavut | ||
| | | | ||
第603行: | 第603行: | ||
|Ob River | |Ob River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Tomsk, Tobolsk, Ob | |Tomsk, Tobolsk, Ob | ||
| | | | ||
第610行: | 第610行: | ||
|Odensefjorden | |Odensefjorden | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 造船厂建筑[[Throughput| 吞吐量]] | ||
* {{green|+3}} | * {{green|+3}} 港口最大等级 | ||
* {{green|+15}} | * {{green|+15}} 海军基地最大等级 | ||
|Zealand | |Zealand | ||
| | | | ||
第619行: | 第619行: | ||
|Oder River | |Oder River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Silesia, Pomerania, Brandenburg | |Silesia, Pomerania, Brandenburg | ||
| | | | ||
第626行: | 第626行: | ||
|Ohio River | |Ohio River | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Indiana, Ohio, Kentucky, Pennsylvania | |Indiana, Ohio, Kentucky, Pennsylvania | ||
| | | | ||
第633行: | 第633行: | ||
|Orinoco River | |Orinoco River | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
| | | | ||
| | | | ||
第640行: | 第640行: | ||
|Pampas | |Pampas | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 农业[[Throughput| 吞吐量]] | ||
|Uruguay, Buenos Aires, Santa Fe, Corrientes, Rio Grande do Sul | |Uruguay, Buenos Aires, Santa Fe, Corrientes, Rio Grande do Sul | ||
| | | | ||
第647行: | 第647行: | ||
|Pantanal | |Pantanal | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 农业[[Throughput| 吞吐量]] | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 基础设施 | ||
|Mato Grosso | |Mato Grosso | ||
| | | | ||
第655行: | 第655行: | ||
|Paraguay River | |Paraguay River | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Alto Paraguay, Bajo Paraguay, Corrientes | |Alto Paraguay, Bajo Paraguay, Corrientes | ||
| | | | ||
第662行: | 第662行: | ||
|Paraná River | |Paraná River | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Santa Fe, Corrientes, Chaco, Paraná, São Paulo | |Santa Fe, Corrientes, Chaco, Paraná, São Paulo | ||
| | | | ||
第669行: | 第669行: | ||
|Pearl River | |Pearl River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Guizhou, Guangxi, Guangdong | |Guizhou, Guangxi, Guangdong | ||
| | | | ||
第676行: | 第676行: | ||
|Po River | |Po River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Lombardy, Piedmont, Venetia | |Lombardy, Piedmont, Venetia | ||
| | | | ||
第683行: | 第683行: | ||
|Rhine River | |Rhine River | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Alsace-Lorraine, Holland, Gelre, East Switzerland, West Switzerland, Rhineland, North Rhine, Baden | |Alsace-Lorraine, Holland, Gelre, East Switzerland, West Switzerland, Rhineland, North Rhine, Baden | ||
| | | | ||
第690行: | 第690行: | ||
|Rhone River | |Rhone River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Provence, Rhone | |Provence, Rhone | ||
| | | | ||
第697行: | 第697行: | ||
|Rocky Mountains | |Rocky Mountains | ||
| | | | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 地区建造力效率 | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 基础设施 | ||
|Idaho, Colorado, Wyoming, Montana, Alberta, British Columbia | |Idaho, Colorado, Wyoming, Montana, Alberta, British Columbia | ||
| | | | ||
第705行: | 第705行: | ||
|Ruhr Coalfield | |Ruhr Coalfield | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 煤矿 建筑[[Throughput| 吞吐量]] | ||
|Westphalia, North Rhine | |Westphalia, North Rhine | ||
| | | | ||
第712行: | 第712行: | ||
|Russian Taiga Forests | |Russian Taiga Forests | ||
| | | | ||
* {{green|+20.0%}} Logging Industry [[Throughput| | * {{green|+20.0%}} Logging Industry [[Throughput| 吞吐量]] | ||
|Ingria, Moscow, Brest, Volhynia, Bryansk, Smolensk, Orsha, Arkhangelsk, Tver, Kursk, Novgorod, Galich, Minsk, Perm | |Ingria, Moscow, Brest, Volhynia, Bryansk, Smolensk, Orsha, Arkhangelsk, Tver, Kursk, Novgorod, Galich, Minsk, Perm | ||
| | | | ||
第719行: | 第719行: | ||
|Saar Coalfield | |Saar Coalfield | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 煤矿 建筑[[Throughput| 吞吐量]] | ||
|Alsace-Lorraine | |Alsace-Lorraine | ||
| | | | ||
第726行: | 第726行: | ||
|Sahara Desert | |Sahara Desert | ||
| | | | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 农业[[Throughput| 吞吐量]] | ||
* {{red|−25.0%}} | * {{red|−25.0%}} 地区建造力效率 | ||
* {{red|−25.0%}} | * {{red|−25.0%}} 基础设施 | ||
|Egyptian Desert, Dongola, Kordofan, Darfur, Tripoli, Libyan Desert, Sahara, East Sahara, West Sahara, Mauritania, Inner Mauritania, Timbuktu, Niger, Chad | |Egyptian Desert, Dongola, Kordofan, Darfur, Tripoli, Libyan Desert, Sahara, East Sahara, West Sahara, Mauritania, Inner Mauritania, Timbuktu, Niger, Chad | ||
| | | | ||
第735行: | 第735行: | ||
|Sandalwood Forestry | |Sandalwood Forestry | ||
| | | | ||
* {{green|+25.0%}} | * {{green|+25.0%}} 建筑{{icon|hardwood}} 硬木产出 | ||
|Hawaiian Islands | |Hawaiian Islands | ||
| | | | ||
第742行: | 第742行: | ||
|Sarawak River | |Sarawak River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|North Borneo | |North Borneo | ||
| | | | ||
第749行: | 第749行: | ||
|Scandinavian Forests | |Scandinavian Forests | ||
| | | | ||
* {{green|+20.0%}} Logging Industry [[Throughput| | * {{green|+20.0%}} Logging Industry [[Throughput| 吞吐量]] | ||
|East Karelia, Svealand, Götaland, Norrland, Southern Finland, West Karelia, Ostrobothnia | |East Karelia, Svealand, Götaland, Norrland, Southern Finland, West Karelia, Ostrobothnia | ||
| | | | ||
第756行: | 第756行: | ||
|Scanian Soils | |Scanian Soils | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 农业[[Throughput| 吞吐量]] | ||
|Scania | |Scania | ||
| | | | ||
第763行: | 第763行: | ||
|Scottish Highlands | |Scottish Highlands | ||
| | | | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 基础设施 | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 地区建造力效率 | ||
|Highlands | |Highlands | ||
| | | | ||
第771行: | 第771行: | ||
|Seine River | |Seine River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Île-de-France, Normandy | |Île-de-France, Normandy | ||
| | | | ||
第778行: | 第778行: | ||
|Serra Dos Carajás | |Serra Dos Carajás | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 铁矿建筑[[Throughput| 吞吐量]] | ||
|Maranhão, Goiás | |Maranhão, Goiás | ||
| | | | ||
第785行: | 第785行: | ||
|Seto Inland Sea | |Seto Inland Sea | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 造船厂建筑[[Throughput| 吞吐量]] | ||
* {{green|+2}} | * {{green|+2}} 港口最大等级 | ||
* {{green|+10}} | * {{green|+10}} 海军基地最大等级 | ||
|Shikoku | |Shikoku | ||
| | | | ||
第804行: | 第804行: | ||
|Siberian Terrain | |Siberian Terrain | ||
| | | | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 农业[[Throughput| 吞吐量]] | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 地区建造力效率 | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 基础设施 | ||
|Upper Yeniseysk, Ob, Nenetsia, Chukotka, Yakutsk | |Upper Yeniseysk, Ob, Nenetsia, Chukotka, Yakutsk | ||
| | | | ||
第813行: | 第813行: | ||
|Sicilian Sulfur Deposits | |Sicilian Sulfur Deposits | ||
| | | | ||
* {{green|+20.0%}} Sulfur Mines | * {{green|+20.0%}} Sulfur Mines 建筑[[Throughput| 吞吐量]] | ||
|Sicily | |Sicily | ||
| | | | ||
第820行: | 第820行: | ||
|Sierra Madre Occidental | |Sierra Madre Occidental | ||
| | | | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 地区建造力效率 | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 基础设施 | ||
|Sonora, Durango, Sinaloa, Jalisco | |Sonora, Durango, Sinaloa, Jalisco | ||
| | | | ||
第828行: | 第828行: | ||
|Sierra Madre Oriental | |Sierra Madre Oriental | ||
| | | | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 地区建造力效率 | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 基础设施 | ||
|Chihuahua, México, Veracruz, Guerrero, Oaxaca, Zacatecas | |Chihuahua, México, Veracruz, Guerrero, Oaxaca, Zacatecas | ||
| | | | ||
第836行: | 第836行: | ||
|Sierra Nevada | |Sierra Nevada | ||
| | | | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 基础设施 | ||
|California | |California | ||
| | | | ||
第843行: | 第843行: | ||
|South Wales Valleys | |South Wales Valleys | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 煤矿 建筑[[Throughput| 吞吐量]] | ||
|Wales | |Wales | ||
| | | | ||
第850行: | 第850行: | ||
|South Yorkshire Coalfield | |South Yorkshire Coalfield | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 煤矿 建筑[[Throughput| 吞吐量]] | ||
|Yorkshire | |Yorkshire | ||
| | | | ||
第857行: | 第857行: | ||
|St Lawrence River | |St Lawrence River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Quebec | |Quebec | ||
| | | | ||
第864行: | 第864行: | ||
|Taklamakan Desert | |Taklamakan Desert | ||
| | | | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 农业[[Throughput| 吞吐量]] | ||
* {{red|−25.0%}} | * {{red|−25.0%}} 地区建造力效率 | ||
* {{red|−25.0%}} | * {{red|−25.0%}} 基础设施 | ||
|Tianshan | |Tianshan | ||
| | | | ||
第873行: | 第873行: | ||
|Terra Rossa | |Terra Rossa | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 农业[[Throughput| 吞吐量]] | ||
|Apulia, Albania, Dalmatia, Croatia, Istria, Montenegro | |Apulia, Albania, Dalmatia, Croatia, Istria, Montenegro | ||
| | | | ||
第880行: | 第880行: | ||
|The Atacama Desert | |The Atacama Desert | ||
| | | | ||
* {{green|+15.0%}} Sulfur Mines | * {{green|+15.0%}} Sulfur Mines 建筑[[Throughput| 吞吐量]] | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 地区建造力效率 | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 基础设施 | ||
|Tarapacá, Antofagasta | |Tarapacá, Antofagasta | ||
| | | | ||
第889行: | 第889行: | ||
|The Black Forest | |The Black Forest | ||
| | | | ||
* {{green|+10.0%}} Logging Industry [[Throughput| | * {{green|+10.0%}} Logging Industry [[Throughput| 吞吐量]] | ||
|Württemberg, Baden | |Württemberg, Baden | ||
| | | | ||
第896行: | 第896行: | ||
|The Black Soil of Ukraine | |The Black Soil of Ukraine | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 农业[[Throughput| 吞吐量]] | ||
|Kiev, Luhansk, Cherson | |Kiev, Luhansk, Cherson | ||
| | | | ||
第903行: | 第903行: | ||
|The Canadian Prairie | |The Canadian Prairie | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 农业[[Throughput| 吞吐量]] | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 基础设施 | ||
|Saskatchewan, Manitoba | |Saskatchewan, Manitoba | ||
| | | | ||
第911行: | 第911行: | ||
|The Golden Vale | |The Golden Vale | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 农业[[Throughput| 吞吐量]] | ||
|Munster | |Munster | ||
| | | | ||
第918行: | 第918行: | ||
|The Great Basin Desert | |The Great Basin Desert | ||
| | | | ||
* {{red|−25.0%}} | * {{red|−25.0%}} 农业[[Throughput| 吞吐量]] | ||
* {{red|−25.0%}} | * {{red|−25.0%}} 地区建造力效率 | ||
* {{red|−25.0%}} | * {{red|−25.0%}} 基础设施 | ||
|Nevada | |Nevada | ||
| | | | ||
第927行: | 第927行: | ||
|The Great Plains | |The Great Plains | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 农业[[Throughput| 吞吐量]] | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 基础设施 | ||
|North Dakota, South Dakota, Nebraska, Kansas | |North Dakota, South Dakota, Nebraska, Kansas | ||
| | | | ||
第935行: | 第935行: | ||
|The Himalayas Mountain Range | |The Himalayas Mountain Range | ||
| | | | ||
* {{red|−25.0%}} | * {{red|−25.0%}} 地区建造力效率 | ||
* {{red|−25.0%}} | * {{red|−25.0%}} 基础设施 | ||
|Lhasa, Ngari, Himalayas | |Lhasa, Ngari, Himalayas | ||
| | | | ||
第943行: | 第943行: | ||
|The Loess Plateau | |The Loess Plateau | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 农业[[Throughput| 吞吐量]] | ||
|Shanxi, Xi'an | |Shanxi, Xi'an | ||
| | | | ||
第950行: | 第950行: | ||
|The Pyrenees Mountain Range | |The Pyrenees Mountain Range | ||
| | | | ||
* {{red|−15.0%}} | * {{red|−15.0%}} 地区建造力效率 | ||
* {{red|−15.0%}} | * {{red|−15.0%}} 基础设施 | ||
|Navarra, Aragon, Catalonia | |Navarra, Aragon, Catalonia | ||
| | | | ||
第958行: | 第958行: | ||
|The Red Basin | |The Red Basin | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 农业[[Throughput| 吞吐量]] | ||
|Sichuan | |Sichuan | ||
| | | | ||
第965行: | 第965行: | ||
|Tigris River | |Tigris River | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Baghdad, Mosul, Basra, Diyarbakir | |Baghdad, Mosul, Basra, Diyarbakir | ||
| | | | ||
第972行: | 第972行: | ||
|Trondhjemsfjorden | |Trondhjemsfjorden | ||
| | | | ||
* {{green|+15.0%}} | * {{green|+15.0%}} 造船厂建筑[[Throughput| 吞吐量]] | ||
* {{green|+3}} | * {{green|+3}} 港口最大等级 | ||
* {{green|+15}} | * {{green|+15}} 海军基地最大等级 | ||
|Northern Norway | |Northern Norway | ||
| | | | ||
第981行: | 第981行: | ||
|Turquoise Deposits | |Turquoise Deposits | ||
| | | | ||
* {{green|+20.0%}} Dye Plantations | * {{green|+20.0%}} Dye Plantations 建筑[[Throughput| 吞吐量]] | ||
|Sinai, Khorasan | |Sinai, Khorasan | ||
| | | | ||
第988行: | 第988行: | ||
|Upper Silesia Coalfield | |Upper Silesia Coalfield | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 煤矿 建筑[[Throughput| 吞吐量]] | ||
|Silesia | |Silesia | ||
| | | | ||
第995行: | 第995行: | ||
|Ural Mountain Range | |Ural Mountain Range | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 铁矿建筑[[Throughput| 吞吐量]] | ||
* {{red|−15.0%}} | * {{red|−15.0%}} 地区建造力效率 | ||
* {{red|−15.0%}} | * {{red|−15.0%}} 基础设施 | ||
|Perm, Ural | |Perm, Ural | ||
| | | | ||
第1,004行: | 第1,004行: | ||
|Uruguay River | |Uruguay River | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Uruguay, Rio Grande do Sul | |Uruguay, Rio Grande do Sul | ||
| | | | ||
第1,011行: | 第1,011行: | ||
|Volcanic Fertility | |Volcanic Fertility | ||
| | | | ||
* {{green|+20.0%}} | * {{green|+20.0%}} 农业[[Throughput| 吞吐量]] | ||
|Hawaiian Islands | |Hawaiian Islands | ||
| | | | ||
第1,018行: | 第1,018行: | ||
|Volga River | |Volga River | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Moscow, Tver, Kazan, Saratov, Astrakhan | |Moscow, Tver, Kazan, Saratov, Astrakhan | ||
| | | | ||
第1,025行: | 第1,025行: | ||
|Wasatch Range | |Wasatch Range | ||
| | | | ||
* {{red|−10.0%}} | * {{red|−10.0%}} 基础设施 | ||
|Utah | |Utah | ||
| | | | ||
第1,032行: | 第1,032行: | ||
|Waterberg Coalfield | |Waterberg Coalfield | ||
| | | | ||
* {{green|+10.0%}} | * {{green|+10.0%}} 煤矿 建筑[[Throughput| 吞吐量]] | ||
|Transvaal | |Transvaal | ||
| | | | ||
第1,039行: | 第1,039行: | ||
|Yangtze River | |Yangtze River | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Sichuan, Yunnan, Chongqing, Nanjing, Jiangxi, Southern Anhui, Western Hubei, Eastern Hubei, Hunan, Suzhou | |Sichuan, Yunnan, Chongqing, Nanjing, Jiangxi, Southern Anhui, Western Hubei, Eastern Hubei, Hunan, Suzhou | ||
| | | | ||
第1,046行: | 第1,046行: | ||
|Yellow River | |Yellow River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|Monan, Shanxi, Ningxia, Qinghai, Henan, Hebei, Shandong | |Monan, Shanxi, Ningxia, Qinghai, Henan, Hebei, Shandong | ||
| | | | ||
第1,053行: | 第1,053行: | ||
|Yukon River Salmon Run | |Yukon River Salmon Run | ||
| | | | ||
* {{green|+20.0%}} Fishing Industry [[Throughput| | * {{green|+20.0%}} Fishing Industry [[Throughput| 吞吐量]] | ||
|Alaska | |Alaska | ||
| | | | ||
第1,060行: | 第1,060行: | ||
|Zagros Mountains | |Zagros Mountains | ||
| | | | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 地区建造力效率 | ||
* {{red|−20.0%}} | * {{red|−20.0%}} 基础设施 | ||
|Fars, Luristan | |Fars, Luristan | ||
| | | | ||
第1,068行: | 第1,068行: | ||
|Zambezi River | |Zambezi River | ||
| | | | ||
* {{green|+15.0}} | * {{green|+15.0}} 基础设施 | ||
|East Angola, Zambia, Zambezia, Zambezi | |East Angola, Zambia, Zambezia, Zambezi | ||
| | | | ||
第1,075行: | 第1,075行: | ||
|Øresund | |Øresund | ||
| | | | ||
* {{green|+20.0}} | * {{green|+20.0}} 基础设施 | ||
|Zealand | |Zealand | ||
| | | |
2022年12月6日 (二) 18:07的版本
一些地区有提供增益或减益地区特质。地区特质是固定的,并且不随着游戏进行改变,但是某些科技能够使 (恶性)疟疾失效。
地区特质列表
请帮助验证或更新此部分。 它最后被验证的 版本是 1.0。 |
Type | Name | Modifiers | States | Notes |
---|---|---|---|---|
阿尔卑斯山脉 |
|
Lombardy, Piedmont, Savoy, Tyrol, South Tyrol, East Switzerland, West Switzerland | ||
亚马逊雨林 | Guayana, Bolívar, Guaviare, Pastaza, Santa Cruz, La Paz, Pará, Maranhão, Amazonas, Acre, Goiás, Mato Grosso | |||
Amazon River |
|
|||
美洲栗林 | New York, Virginia, Kentucky, Tennessee, Mississippi, Alabama, West Virginia, Pennsylvania, Rhode Island, Connecticut, Massachusetts, New Hampshire, Vermont, Maine | |||
安第斯山脉 |
|
Ecuador, Zulia, Antioquía, Cundinamarca, Cauca, Tarapacá, Antofagasta, La Paz, Potosí, Cajamarca, Lima, Ica, Arequipa, Jujuy, Tucumán, Santiago, Los Ríos, Araucania | ||
南极捕鲸业 |
|
South Atlantic Islands | ||
阿巴拉契亚山脉 |
|
Virginia, Kentucky, West Virginia, Pennsylvania, North Carolina | ||
阿拉伯沙漠 |
|
Nejd, Hail, Baghdad | ||
北极捕鲸业 |
|
Northern Norway, Iceland, Greenland | ||
澳大利亚沙漠 |
|
South Australia, Western Australia, Northern Territory | ||
孟加拉三角洲 |
|
South Bengal | ||
贝里斯拉根矿区 | Svealand | |||
Bone Valley |
|
Florida | ||
博里纳日煤田 |
|
Wallonia | ||
婆罗洲雨林 | North Borneo, West Borneo, East Borneo | |||
布拉马普特拉河 |
|
Assam | ||
不来梅港 |
|
Elbe | ||
Burmese Teak | Kachin, Shan States, Burma, Pegu | |||
Cascades |
|
Washington, Oregon | ||
Caucasus Mountain Range |
|
Azerbaijan, Greater Caucasus | ||
Cauvery Delta |
|
Madras | ||
Central American Cordilleras |
|
San Salvador, Guatemala, Honduras, Nicaragua, Costa Rica, Chiapas | ||
Central Belt Coalfield |
|
Lowlands | ||
Central Valley |
|
California | ||
Chao Phraya Delta |
|
Bangkok | ||
Chincha Islands |
|
Lima | ||
Christianiafjorden |
|
Eastern Norway | ||
Columbia River |
|
Washington, Oregon, British Columbia | ||
Congo River |
|
Congo, Congo Orientale, Bas-Congo, Equateur | ||
Congolian Rainforest | Congo, Congo Orientale, Kasai, Bas-Congo, Equateur | |||
Danube River |
|
Dobrudja, Bulgaria, Slavonia, Northern Serbia, Central Hungary, Transdanubia, Délvidék, West Slovakia, Wallachia, Austria, Bavaria | ||
Dnieper River |
|
Kiev, Luhansk, Cherson | ||
Drava River |
|
Slovenia, Croatia, Styria | ||
El Mutún |
|
Santa Cruz | ||
Elbe River |
|
Bohemia, Elbe, Anhalt, Saxony | ||
Euphrates River |
|
Syria, Aleppo, Baghdad, Basra, Diyarbakir, Adana | ||
Floridian Wetlands |
|
Florida | ||
Ganges River |
|
Bihar, North Bengal, Delhi, Awadh | ||
Gobi Desert |
|
Alxa, Monan | ||
Good Soils |
|
Central India, Gotland, Jutland, Home Counties, East Anglia, Île-de-France, Picardy, Champagne, Orléans | ||
Grand Banks Fisheries |
|
Newfoundland | ||
Great Dividing Range |
|
New South Wales, Queensland | ||
Great Lakes |
|
Wisconsin, Michigan, Ontario | ||
Halifax Harbor |
|
New Brunswick | ||
Hardangerfjorden |
|
Western Norway | ||
Indochinese Forests |
|
Cambodia, Tonkin, Annam, Mekong, Laos, Nakhon Ratchasima | ||
Indus River |
|
Kashmir, Punjab, Sindh, Pashtunistan | ||
Indus Valley |
|
Punjab, Sindh | ||
Irrwaddy Delta |
|
Pegu | ||
Kapuas River |
|
West Borneo | ||
Kongsberg |
|
Eastern Norway | ||
Krka Falls | Dalmatia | |||
La Costa |
|
Ecuador | ||
Lake Maracaibo |
|
Zulia | ||
Lake Victoria |
|
Tanganyika, Rift Valley, Uganda | ||
Lancashire Coalfield |
|
Lancashire | ||
Loire Coalfield |
|
Rhone | ||
Loire River |
|
Loire, Brittany, Burgundy, Orléans | ||
London Docklands |
|
Home Counties | ||
Malaria | Mauritania, Inner Mauritania, Eastern Mali, Western Mali, Timbuktu, Niger, Chad, Ivory Coast, Windward Coast, Senegal, Gambia, Sierra Leone, Volta, Liberia, Hausaland, Benin, Yoruba States, Niger Delta, Outer Hausaland, Bornu, Nigeria, East Hausaland, Guinea, Ghana, Togo, Dahomey, Lindi, Zanzibar, Tanganyika, Kenya, Rift Valley, Oromia, Amhara, Gonder, Kazembe, Somaliland, South Madagascar, North Madagascar, Uganda, Equatoria, Mocambique, Waddai, North Cameroon, South Cameroon, North Angola, South Angola, Zambezia, Zululand, Transvaal, Lourenço Marques, Celebes |
| ||
Malmberget |
|
Norrland | ||
Manila Bay |
|
Luzón | ||
Mekong Delta |
|
Mekong | ||
Mekong River |
|
Cambodia, Laos | ||
Mississippi River |
|
Louisiana, Arkansas, Missouri, Iowa, Minnesota, Tennessee, Mississippi, Illinois | ||
Natural Harbors |
|
Jamaica, Cuba, East Java, Malta, Laristan, Gujarat, South Bengal, Madras, Bombay, West Prussia, Massachusetts, Svealand, Scania, Lancashire, East Anglia, West Country, Munster, Provence, Holland, Shaozhou, Southern Manchuria | ||
New Caledonian Nickel |
|
Kanak | ||
New England Whaling |
|
Rhode Island, Connecticut, Massachusetts, New Hampshire, Maine | ||
New York Harbor |
|
New York | ||
Newark Harbor |
|
New Jersey | ||
Niagara Falls | New York, Ontario | |||
Niger River |
|
Eastern Mali, Western Mali, Timbuktu, Hausaland, Benin, Niger Delta, Outer Hausaland, Guinea | ||
Nile River |
|
Lower Egypt, Upper Egypt, Middle Egypt | ||
Nord-Pas-de-Calais Coalfield |
|
Picardy | ||
North Sea Fishing |
|
Western Norway, Northern Norway, Highlands, Lowlands | ||
Northern California Coastal Forests |
|
California | ||
Northern Canadian Terrain |
|
Yukon Territory, Northwest Territories, Nunavut | ||
Ob River |
|
Tomsk, Tobolsk, Ob | ||
Odensefjorden |
|
Zealand | ||
Oder River |
|
Silesia, Pomerania, Brandenburg | ||
Ohio River |
|
Indiana, Ohio, Kentucky, Pennsylvania | ||
Orinoco River |
|
|||
Pampas |
|
Uruguay, Buenos Aires, Santa Fe, Corrientes, Rio Grande do Sul | ||
Pantanal |
|
Mato Grosso | ||
Paraguay River |
|
Alto Paraguay, Bajo Paraguay, Corrientes | ||
Paraná River |
|
Santa Fe, Corrientes, Chaco, Paraná, São Paulo | ||
Pearl River |
|
Guizhou, Guangxi, Guangdong | ||
Po River |
|
Lombardy, Piedmont, Venetia | ||
Rhine River |
|
Alsace-Lorraine, Holland, Gelre, East Switzerland, West Switzerland, Rhineland, North Rhine, Baden | ||
Rhone River |
|
Provence, Rhone | ||
Rocky Mountains |
|
Idaho, Colorado, Wyoming, Montana, Alberta, British Columbia | ||
Ruhr Coalfield |
|
Westphalia, North Rhine | ||
Russian Taiga Forests |
|
Ingria, Moscow, Brest, Volhynia, Bryansk, Smolensk, Orsha, Arkhangelsk, Tver, Kursk, Novgorod, Galich, Minsk, Perm | ||
Saar Coalfield |
|
Alsace-Lorraine | ||
Sahara Desert |
|
Egyptian Desert, Dongola, Kordofan, Darfur, Tripoli, Libyan Desert, Sahara, East Sahara, West Sahara, Mauritania, Inner Mauritania, Timbuktu, Niger, Chad | ||
Sandalwood Forestry | Hawaiian Islands | |||
Sarawak River |
|
North Borneo | ||
Scandinavian Forests |
|
East Karelia, Svealand, Götaland, Norrland, Southern Finland, West Karelia, Ostrobothnia | ||
Scanian Soils |
|
Scania | ||
Scottish Highlands |
|
Highlands | ||
Seine River |
|
Île-de-France, Normandy | ||
Serra Dos Carajás |
|
Maranhão, Goiás | ||
Seto Inland Sea |
|
Shikoku | ||
Severe Malaria | Ubangi-Shari, Congo, Congo Orientale, Kasai, Bas-Congo, Equateur, East Angola, Katanga, Gabon, Zambia, Zambezi, Namaqualand, Hereroland, Botswana, Western New Guinea, Eastern New Guinea |
| ||
Siberian Terrain |
|
Upper Yeniseysk, Ob, Nenetsia, Chukotka, Yakutsk | ||
Sicilian Sulfur Deposits |
|
Sicily | ||
Sierra Madre Occidental |
|
Sonora, Durango, Sinaloa, Jalisco | ||
Sierra Madre Oriental |
|
Chihuahua, México, Veracruz, Guerrero, Oaxaca, Zacatecas | ||
Sierra Nevada |
|
California | ||
South Wales Valleys |
|
Wales | ||
South Yorkshire Coalfield |
|
Yorkshire | ||
St Lawrence River |
|
Quebec | ||
Taklamakan Desert |
|
Tianshan | ||
Terra Rossa |
|
Apulia, Albania, Dalmatia, Croatia, Istria, Montenegro | ||
The Atacama Desert |
|
Tarapacá, Antofagasta | ||
The Black Forest |
|
Württemberg, Baden | ||
The Black Soil of Ukraine |
|
Kiev, Luhansk, Cherson | ||
The Canadian Prairie |
|
Saskatchewan, Manitoba | ||
The Golden Vale |
|
Munster | ||
The Great Basin Desert |
|
Nevada | ||
The Great Plains |
|
North Dakota, South Dakota, Nebraska, Kansas | ||
The Himalayas Mountain Range |
|
Lhasa, Ngari, Himalayas | ||
The Loess Plateau |
|
Shanxi, Xi'an | ||
The Pyrenees Mountain Range |
|
Navarra, Aragon, Catalonia | ||
The Red Basin |
|
Sichuan | ||
Tigris River |
|
Baghdad, Mosul, Basra, Diyarbakir | ||
Trondhjemsfjorden |
|
Northern Norway | ||
Turquoise Deposits |
|
Sinai, Khorasan | ||
Upper Silesia Coalfield |
|
Silesia | ||
Ural Mountain Range |
|
Perm, Ural | ||
Uruguay River |
|
Uruguay, Rio Grande do Sul | ||
Volcanic Fertility |
|
Hawaiian Islands | ||
Volga River |
|
Moscow, Tver, Kazan, Saratov, Astrakhan | ||
Wasatch Range |
|
Utah | ||
Waterberg Coalfield |
|
Transvaal | ||
Yangtze River |
|
Sichuan, Yunnan, Chongqing, Nanjing, Jiangxi, Southern Anhui, Western Hubei, Eastern Hubei, Hunan, Suzhou | ||
Yellow River |
|
Monan, Shanxi, Ningxia, Qinghai, Henan, Hebei, Shandong | ||
Yukon River Salmon Run |
|
Alaska | ||
Zagros Mountains |
|
Fars, Luristan | ||
Zambezi River |
|
East Angola, Zambia, Zambezia, Zambezi | ||
Øresund |
|
Zealand |
References
State traits are defined in Victoria 3\game\common/state_traits and are assigned to states in Victoria 3\game\map_data/state_regions.