Newer
Older
osmCoverage / src / db.police.class.violet.html
@hayashi hayashi on 3 May 2018 56 KB fixed: Police
<HTML>
<HEAD>
<META name="description"
	content="Violet UML Editor cross format document" />
<META name="keywords" content="Violet, UML" />
<META charset="UTF-8" />
<SCRIPT type="text/javascript">
	function switchVisibility() {
		var obj = document.getElementById("content");
		obj.style.display = (obj.style.display == "block") ? "none" : "block";
	}
</SCRIPT>
</HEAD>
<BODY>
	This file was generated with Violet UML Editor 2.1.0.
	&nbsp;&nbsp;(&nbsp;<A href=# onclick="switchVisibility()">View Source</A>&nbsp;/&nbsp;<A href="http://sourceforge.net/projects/violet/files/violetumleditor/" target="_blank">Download Violet</A>&nbsp;)
	<BR />
	<BR />
	<SCRIPT id="content" type="text/xml"><![CDATA[<ClassDiagramGraph id="1">
  <nodes id="2">
    <NoteNode id="3">
      <children id="4"/>
      <location class="Point2D.Double" id="5" x="690.0" y="70.0"/>
      <id id="6" value="280b3144-f56a-4cc8-a856-ba56886de211"/>
      <revision>1</revision>
      <backgroundColor id="7">
        <red>255</red>
        <green>255</green>
        <blue>255</blue>
        <alpha>255</alpha>
      </backgroundColor>
      <borderColor id="8">
        <red>0</red>
        <green>0</green>
        <blue>0</blue>
        <alpha>255</alpha>
      </borderColor>
      <textColor reference="8"/>
      <text id="9" justification="0" size="4" underlined="false">
        <text>up: INT はPostGISテーブルに対するUPDATEステータス
 0: 更新なし
 1: 更新あり
 2: 新規追加</text>
      </text>
      <color id="10">
        <red>255</red>
        <green>228</green>
        <blue>181</blue>
        <alpha>255</alpha>
      </color>
    </NoteNode>
    <InterfaceNode id="11">
      <children id="12"/>
      <location class="Point2D.Double" id="13" x="420.0" y="60.0"/>
      <id id="14" value="defaedd8-b651-436e-8d4a-531b1bbbe963"/>
      <revision>1</revision>
      <backgroundColor reference="7"/>
      <borderColor reference="8"/>
      <textColor reference="8"/>
      <name id="15" justification="1" size="3" underlined="false">
        <text>«GML 国土数値情報»
警察署データ</text>
      </name>
      <methods id="16" justification="0" size="4" underlined="false">
        <text></text>
      </methods>
    </InterfaceNode>
    <InterfaceNode id="17">
      <children id="18"/>
      <location class="Point2D.Double" id="19" x="140.0" y="60.0"/>
      <id id="20" value="a3857dc8-fd3d-429c-ac9e-8f8e6796a042"/>
      <revision>1</revision>
      <backgroundColor reference="7"/>
      <borderColor reference="8"/>
      <textColor reference="8"/>
      <name id="21" justification="1" size="3" underlined="false">
        <text>«OSMpolice»</text>
      </name>
      <methods id="22" justification="0" size="4" underlined="false">
        <text>amenity=police</text>
      </methods>
    </InterfaceNode>
    <PackageNode id="23">
      <children id="24">
        <ClassNode id="25">
          <children id="26"/>
          <parent class="PackageNode" reference="23"/>
          <location class="Point2D.Double" id="27" x="50.0" y="80.0"/>
          <id id="28" value="cd813e04-166b-4a1a-a037-646c93c7b06c"/>
          <revision>1</revision>
          <backgroundColor id="29">
            <red>255</red>
            <green>255</green>
            <blue>255</blue>
            <alpha>255</alpha>
          </backgroundColor>
          <borderColor id="30">
            <red>0</red>
            <green>0</green>
            <blue>0</blue>
            <alpha>255</alpha>
          </borderColor>
          <textColor reference="30"/>
          <name id="31" justification="1" size="3" underlined="false">
            <text>table.OSM_EXIST</text>
          </name>
          <attributes id="32" justification="0" size="4" underlined="false">
            <text>+ idref: VARCHAR(12) NOT NULL
- name: VARCHAR(128)
- lat: DOUBLE
- lon: DOUBLE
- score: INT</text>
          </attributes>
          <methods id="33" justification="0" size="4" underlined="false">
            <text></text>
          </methods>
        </ClassNode>
        <ClassNode id="34">
          <children id="35"/>
          <parent class="PackageNode" reference="23"/>
          <location class="Point2D.Double" id="36" x="350.0" y="60.0"/>
          <id id="37" value="67c060b8-0948-47e6-81b6-1a2c55009ac7"/>
          <revision>1</revision>
          <backgroundColor id="38">
            <red>255</red>
            <green>255</green>
            <blue>255</blue>
            <alpha>255</alpha>
          </backgroundColor>
          <borderColor id="39">
            <red>0</red>
            <green>0</green>
            <blue>0</blue>
            <alpha>255</alpha>
          </borderColor>
          <textColor reference="39"/>
          <name id="40" justification="1" size="3" underlined="false">
            <text>table.POLICE</text>
          </name>
          <attributes id="41" justification="0" size="4" underlined="false">
            <text> gid: INT
+ idref: VARCHAR(12) NOT NULL
 name: VARCHAR(255)
 lat: DOUBLE
 lon: DOUBLE
 fixed: INT
 fixed1: INT
 area: INT
 code: INT</text>
          </attributes>
          <methods id="42" justification="0" size="4" underlined="false">
            <text></text>
          </methods>
        </ClassNode>
        <ClassNode id="43">
          <children id="44"/>
          <parent class="PackageNode" reference="23"/>
          <location class="Point2D.Double" id="45" x="350.0" y="310.0"/>
          <id id="46" value="302492f6-74aa-4c30-81ad-f443ff787bed"/>
          <revision>1</revision>
          <backgroundColor id="47">
            <red>255</red>
            <green>255</green>
            <blue>255</blue>
            <alpha>255</alpha>
          </backgroundColor>
          <borderColor id="48">
            <red>0</red>
            <green>0</green>
            <blue>0</blue>
            <alpha>255</alpha>
          </borderColor>
          <textColor reference="48"/>
          <name id="49" justification="1" size="3" underlined="false">
            <text>table.POLICE2</text>
          </name>
          <attributes id="50" justification="0" size="4" underlined="false">
            <text>+ idref: VARCHAR(12) NOT NULL
 lat: DOUBLE
 lon: DOUBLE
 area: INT</text>
          </attributes>
          <methods id="51" justification="0" size="4" underlined="false">
            <text></text>
          </methods>
        </ClassNode>
      </children>
      <location class="Point2D.Double" id="52" x="40.0" y="120.0"/>
      <id id="53" value="a9472970-eb95-4aa8-acfc-560bc2955ed8"/>
      <revision>1</revision>
      <backgroundColor reference="7"/>
      <borderColor reference="8"/>
      <textColor reference="8"/>
      <name id="54" justification="1" size="3" underlined="false">
        <text>HSQLDB</text>
      </name>
      <content id="55" justification="1" size="4" underlined="false">
        <text></text>
      </content>
    </PackageNode>
    <PackageNode id="56">
      <children id="57">
        <ClassNode id="58">
          <children id="59"/>
          <parent class="PackageNode" reference="56"/>
          <location class="Point2D.Double" id="60" x="60.0" y="110.0"/>
          <id id="61" value="5da95410-5b43-471e-8d9b-ce6037ee04ba"/>
          <revision>1</revision>
          <backgroundColor id="62">
            <red>255</red>
            <green>255</green>
            <blue>255</blue>
            <alpha>255</alpha>
          </backgroundColor>
          <borderColor id="63">
            <red>0</red>
            <green>0</green>
            <blue>0</blue>
            <alpha>255</alpha>
          </borderColor>
          <textColor reference="63"/>
          <name id="64" justification="1" size="3" underlined="false">
            <text>t_POLICE</text>
          </name>
          <attributes id="65" justification="0" size="4" underlined="false">
            <text>+ gid: SERIAL PRIMARY KEY
  idref: text
  fixed: integer
  area: integer
  geom: GEOMETRY(POINT, 4612)</text>
          </attributes>
          <methods id="66" justification="0" size="4" underlined="false">
            <text></text>
          </methods>
        </ClassNode>
      </children>
      <location class="Point2D.Double" id="67" x="700.0" y="180.0"/>
      <id id="68" value="3120910d-7b49-4008-8a44-e3dba869b4f9"/>
      <revision>1</revision>
      <backgroundColor reference="62"/>
      <borderColor reference="63"/>
      <textColor reference="63"/>
      <name id="69" justification="1" size="3" underlined="false">
        <text>PistGIS</text>
      </name>
      <content id="70" justification="1" size="4" underlined="false">
        <text></text>
      </content>
    </PackageNode>
  </nodes>
  <edges id="71">
    <NoteEdge id="72">
      <start class="ClassNode" reference="34"/>
      <end class="NoteNode" reference="3"/>
      <startLocation class="Point2D.Double" id="73" x="150.0" y="100.0"/>
      <endLocation class="Point2D.Double" id="74" x="60.0" y="50.0"/>
      <transitionPoints id="75"/>
      <id id="76" value="adf29b7d-9402-4ba9-86b1-c472053ccdfd"/>
      <revision>1</revision>
    </NoteEdge>
    <DependencyEdge id="77">
      <start class="InterfaceNode" reference="11"/>
      <end class="ClassNode" reference="34"/>
      <startLocation class="Point2D.Double" id="78" x="90.0" y="30.0"/>
      <endLocation class="Point2D.Double" id="79" x="100.0" y="70.0"/>
      <transitionPoints id="80"/>
      <id id="81" value="fd15a254-8e91-4b73-979e-97b03f0833ca"/>
      <revision>1</revision>
      <bentStyle name="AUTO"/>
      <startLabel></startLabel>
      <middleLabel></middleLabel>
      <endLabel></endLabel>
    </DependencyEdge>
    <DependencyEdge id="82">
      <start class="InterfaceNode" reference="17"/>
      <end class="ClassNode" reference="25"/>
      <startLocation class="Point2D.Double" id="83" x="50.0" y="30.0"/>
      <endLocation class="Point2D.Double" id="84" x="110.0" y="30.0"/>
      <transitionPoints id="85"/>
      <id id="86" value="808f0812-50f3-45b3-853b-a37968d1a70f"/>
      <revision>1</revision>
      <bentStyle name="AUTO"/>
      <startLabel></startLabel>
      <middleLabel></middleLabel>
      <endLabel></endLabel>
    </DependencyEdge>
    <DependencyEdge id="87">
      <start class="ClassNode" reference="25"/>
      <end class="ClassNode" reference="34"/>
      <startLocation class="Point2D.Double" id="88" x="170.0" y="80.0"/>
      <endLocation class="Point2D.Double" id="89" x="100.0" y="150.0"/>
      <transitionPoints id="90"/>
      <id id="91" value="cd09ecb2-9cff-413f-8008-96073428c732"/>
      <revision>1</revision>
      <bentStyle name="AUTO"/>
      <startLabel></startLabel>
      <middleLabel></middleLabel>
      <endLabel></endLabel>
    </DependencyEdge>
    <DependencyEdge id="92">
      <start class="ClassNode" reference="34"/>
      <end class="ClassNode" reference="58"/>
      <startLocation class="Point2D.Double" id="93" x="100.0" y="110.0"/>
      <endLocation class="Point2D.Double" id="94" x="110.0" y="40.0"/>
      <transitionPoints id="95"/>
      <id id="96" value="a5677484-cc5c-4908-9a60-960f6cd59f59"/>
      <revision>1</revision>
      <bentStyle name="AUTO"/>
      <startLabel></startLabel>
      <middleLabel></middleLabel>
      <endLabel></endLabel>
    </DependencyEdge>
    <AggregationEdge id="97">
      <start class="ClassNode" reference="43"/>
      <end class="ClassNode" reference="34"/>
      <startLocation class="Point2D.Double" id="98" x="110.0" y="40.0"/>
      <endLocation class="Point2D.Double" id="99" x="120.0" y="100.0"/>
      <transitionPoints id="100"/>
      <id id="101" value="2aa174c0-2cae-4f59-ad9b-5aa39f5f46c4"/>
      <revision>1</revision>
      <bentStyle name="AUTO"/>
      <startLabel></startLabel>
      <middleLabel>idref, area</middleLabel>
      <endLabel></endLabel>
    </AggregationEdge>
  </edges>
</ClassDiagramGraph>]]></SCRIPT>
	<BR />
	<BR />
	<IMG alt="embedded diagram image" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA7sAAAJJCAIAAADk1bcHAACAAElEQVR42uy9DUwc6Z2gP1qGdNgO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" />
</BODY>
</HTML>