join vt. 1.接合,連接,使結(jié)合。 2.參加,加入,作(團(tuán)體等的)成員;和(某人)作伴。 3.回(原崗位),歸(隊(duì))。 4.聯(lián)合;使結(jié)交,使聯(lián)姻。 5.會(huì)合,合流。 6.〔口語〕毗連,接近。 join two points by a straight line 用直線把兩點(diǎn)連起來。 J- us in a walk. 和我們一起走走。 join battle 參戰(zhàn)。 join the army 參軍。 join the Party 入黨。 join sb. in the discussion 同某人一起討論。 join one's ship 回到船上。 The brook joins the river. 小川同河流匯合。 His house joins mine. 他的家就在我家的隔壁。 vi. 1.結(jié)合,聯(lián)合 (with; to)。 2.參加,加入 (in; with)。 3.毗連,接近。 My mother joins with me in congratulating you. 我的母親跟我一道向你祝賀。 In this point I join with you. 這一點(diǎn)我跟你一致。 join in a conversation 參加談話。 join forces with 1. 軍隊(duì)會(huì)師。 2. 同…合作,同…聯(lián)合。 join hands with 1. 同…聯(lián)合。 2. 同…合伙開店。 3. 同…做夫妻。 join issue 【法律】共同起訴;進(jìn)行辯論。 join [take] issue with sb. on sth. 就某事與某人爭(zhēng)論。 join the colours 服兵役。 join the (great 或 silent) majority 死。 join up 〔口語〕 1. 參軍,入伍。 2. 聯(lián)合起來。 n. 1.連接;結(jié)合。 2.接合處,接合點(diǎn),接合線,接合面。 You can hardly see the join in the coat. 你幾乎看不出那件外衣的接縫。
The classical r - tree as index is adopted in spatial joining . r - tree is performed by bulk loading 在空間連接處理的算法上采用了經(jīng)典的r樹作為索引,采用批生成算法生成r樹。
We summarize that spatial index system should provides three kinds of spatial query , they are , spatial range query , nearest neighbor query , spatial join query 本文總結(jié)出空間索引系統(tǒng)應(yīng)提供的三類空間查詢:空間范圍查詢、最近鄰居查詢、空間連接查詢。
This thesis discusses spatial data index first , shows the history of spatial index structure , introduces the current domestic and foreign main index structure in gis ' s spatial joining , and then makes use of character to express spatial object 本論文首先對(duì)空間數(shù)據(jù)庫的索引進(jìn)行探討,并給出了空間索引結(jié)構(gòu)的發(fā)展演化圖,然后介紹了目前國內(nèi)外gis的空間連接過程中的主流索引結(jié)構(gòu),最后引入了字符來表達(dá)空間對(duì)象。
Third , the dissertation specifies the spatial join query processing based on service oriented architecture . two strategies are proposed . the first one , called the ssji strategy , can efficiently reduce the overall costs by precomputing and materializing the spatial semi join results 最后,論文研究了空間數(shù)據(jù)服務(wù)發(fā)現(xiàn)問題,基于信息檢索理論,提出了基于集合模型和向量模型的服務(wù)發(fā)現(xiàn)方法,提高了服務(wù)發(fā)現(xiàn)的查全率和查準(zhǔn)率。
In addition , we summarize some spatial join algorithms based on r - tree index and their cost estimation models . we also give out a query optimization algorithm framework based on dynamic programming algorithm , and integrated basic r - tree index method and query optimization mechanism into sadbs ii 另外,本文還總結(jié)了幾種基于r樹索引的空間連接算法及其代價(jià)評(píng)估模型,利用動(dòng)態(tài)編程算法給出了查詢優(yōu)化的算法框架,并在sadbs中集成了基本的r樹索引方法和查詢優(yōu)化機(jī)制。
Given a query window , spatial range query finds all spatial objects that might conform to certain spatial relationship with the query window . nearest neighbor query finds spatial object nearest to given point . spatial join query always involves two or more than two map layers 空間范圍查詢?cè)谀硤D層內(nèi)找出與給定查詢窗口滿足一定空間關(guān)系的所有空間對(duì)象;最近鄰居查詢?cè)谀硤D層內(nèi)找出距離某點(diǎn)最近的空間對(duì)象;空間連接查詢往往涉及對(duì)兩個(gè)或兩個(gè)以上圖層中空間對(duì)象之間的操作。