本篇文章給大家談?wù)刧is地圖色塊，以及gis調(diào)顏色對應(yīng)的知識點(diǎn)，希望對各位有所幫助，不要忘了收藏本站喔。
目錄一覽：
- 1、ArcGIS中的幾種分類 ***
- 2、一幅只有輪廓的中國地圖怎樣用arcgis在各個省涂上想要的顏色
- 3、arcgis 10.0如何制作四色地圖呢
- 4、mapgis中怎么填充顏色，是區(qū)域地質(zhì)圖。
- 5、在arcgis制圖中，以下要素的填充色都是什么？ 城市、建制鎮(zhèn)、村莊、采礦用地、風(fēng)景名勝及特殊用地
ArcGIS中的幾種分類 ***
Equal Interval classification - GIS Wiki | The GIS Encyclopedia
????The equal interval classification method divides attribute values into equal size ranges.Unlike quantile classification（分位數(shù)分類法）, the number of records that fall into each category (or bin) will differ. Equal Interval Classification in GIS - GIS Geography
????相等間隔會將屬性值的范圍劃分為 若干個大小相等的子范圍 。您可以指定間隔數(shù)，ArcGIS 將基于值范圍自動確定分類間隔。例如，如果為取值范圍為 0-300 的字段指定三個類，ArcGIS 將創(chuàng)建三個類，其取值范圍分別為 0–100、101–200 和 201–300。
? ? ArcGIS PRO文檔：Equal interval is? best applied to familiar data ranges, such as percentages and temperature . This method emphasizes the amount of an attribute value relative to other values. For example, it shows that a shop is part of the group of shops that make up the top one-third of all sales. （相等間隔最適用于常見？的數(shù)據(jù)范圍，如百分比和溫度。這種 *** 強(qiáng)調(diào)的是某個屬性值相對于其他值的量。例如，它可顯示某個商店為一組商店的一部分，而該組商店的銷售額占總銷售額的三分之一。）
添加微信好友, 獲取更多信息
復(fù)制微信號
? ? *** ：Equal interval is useful when distribution of the data has a rectangular shape in the histogram（數(shù)據(jù)的分布在直方圖中呈矩形，也就是說分布均勻） . However, in geography, equal interval is most common when the classification units are nearly equal in size.
? ? ? ?One advantage of using equal interval classification is that the steps to compute the intervals can easily be completed using a calculator or pencil and paper. A second advantage is that when the results of this classification are projected onto a map they are easily interpreted. Another advantage is that the legend limits contain no missing values or gaps. This permits faster map interpretation, but might create confusion concerning the bounds of each class.
????The main disadvantage of this classification type is that it fails to consider how data are distributed along the number line（沒有考慮數(shù)據(jù)是如何沿著數(shù)軸分布的，對可視化效果不友好，可能會出現(xiàn)大量同一色塊的分布） . For example, the map to the right shows the percentage of total homes in Arkansas which are mobile homes. There are many areas that fall into the two lower percentages, leaving most of the state the two shades of green. If a different classification was used, the data displayed in the map could be shown more effectively.
????Use defined interval to specify an interval size to define a series of classes with the same value range. For example, if the interval size is 75, each class will span 75 units. The number of classes, based on the interval size and maximum sample size, is determined automatically. The interval size must be *** all enough to fit the minimum number of classes allowed, which is three.
???? Quantile - GIS Wiki | The GIS Encyclopedia
????In a quantile classification , each class contains an equal number of features . （每一個類別中的包含被分類對象的數(shù)目相等）
????A quantile classification is well suited to linearly distributed data . Quantile assigns the same number of data values to each class. There are no empty classes or classes with too few or too many values. 比如，分位數(shù)分類法適用于區(qū)分人口密度這類在其范圍內(nèi)均勻分布的數(shù)據(jù)
????Using the quantile classification method gives data classes at the extremes and middle the same number of values. Each class is equally represented on the map and the classes are easy to compute. Quantile classification is also very useful when it comes to ordinal data . Ordinal Data: Definition, Analysis and Examples
????When using quantile, classification gaps can occur between the attribute values . These gaps can sometimes lead to an over-weighting of the outlier in that class division? [3] .
????Another disadvantage is that if the number of classes is not correctly created two areas with the same value can end up in different groups.（由于組內(nèi)的數(shù)目是確定的，有相同屬性的對象可能被分到不同的組內(nèi)）? For example, imagine you have data for the number of fast food restaurants in each county for 21 counties and you want to divide the counties into 7 groups with 3 counties in each group. If 4 counties each have exactly 10 fast food restaurants one of those counties will be classified in a different group, because there are only 3 counties per group, despite the values being the same.
Jenks Natural Breaks Classification - GIS Wiki | The GIS Encyclopedia
????With natural breaks classification (Jenks) , classes are based on natural groupings inherent in the data. Class breaks are created in a way that best groups similar values together and maximizes the differences between classes（類內(nèi)差異小，類間差異大）. ?The features are divided into classes whose boundaries are set where there are relatively big differences in the data values.
????The method reduces the variance within classes and maximizes the variance between classes.It is also known as the goodness of variance fit (GVF) , which equals the subtraction of SDCM (sum of squared deviations for class means) from SDAM (sum of squared deviations for array mean). （該 *** 減少了類內(nèi)的方差，并使類間的方差更大化。它也被稱為 方差擬合優(yōu)度(GVF) ，等于SDCM(類均值的平方偏差和)減去SDAM(數(shù)組均值的平方偏差和)）
???Jenks classification is not recommended for data that have a low variance. ?不適用于數(shù)據(jù)方差很小的情況下
? ??Natural breaks are data-specific classifications and not useful for comparing multiple maps built from different underlying information.
? ??Because natural breaks classification places clustered values in the same class, this method is good for mapping data values that are not evenly distributed.
Geometric Interval Classification - GIS Wiki | The GIS Encyclopedia
????The geometrical interval classification scheme creates class breaks based on class intervals that have a geometric series. The geometric coefficient in this classifier can change once (to its inverse) to optimize the class ranges. The algorithm creates geometric intervals by minimizing the sum of squares of the number of elements in each class. This ensures that each class range has approximately the same number of values in each class and that the change between intervals is fairly consistent.
????此算法專門用于 處理連續(xù)數(shù)據(jù) 。這是相等間隔、自然間斷點(diǎn)分級法 (Jenks) 和分位數(shù)間的折衷 *** 。其在突出顯示中間值變化和極值變化之間達(dá)成一種平衡，因此生成的結(jié)果外形美觀、地圖內(nèi)容詳盡
????This classification method is useful for visualizing data that is not distributed normally, or when the distribution is extremely skewed. 這種分類 *** 對于顯示 非正態(tài)分布的數(shù)據(jù) 或當(dāng) 數(shù)據(jù)的分布極其傾斜時 非常有用。
????The Geometrical intervals classification is better than quantiles for visualizing prediction surfaces, which often do not have a normal data distribution. Geometric interval works best when the data is spread over a large area and is not well distributed.?
? ? 標(biāo)準(zhǔn)差分類 *** 用于顯示 要素屬性值與平均值之間的差異 。ArcMap 可計算平均值和標(biāo)準(zhǔn)差。將使用與標(biāo)準(zhǔn)差成比例的等值范圍創(chuàng)建分類間隔 - 間隔通常為 1 倍、1/2 倍、1/3 倍或 1/4 倍的標(biāo)準(zhǔn)差，并使用平均值以及由平均值得出的標(biāo)準(zhǔn)差。
????通過強(qiáng)調(diào)平均值以上和以下的值，標(biāo)準(zhǔn)差分類有助于顯示哪些位置高于或低于平均值。
????Use this classification method when it is important to know how values relate to the mean , such as population density in a given area, or comparing foreclosure rates across the country. For greater detail in your map, you can change the class size from 1 standard deviation to 0.5 standard deviation.
一幅只有輪廓的中國地圖怎樣用arcgis在各個省涂上想要的顏色
首先你要選擇坐標(biāo)系，坐標(biāo)系選好后，然后運(yùn)用繪圖工具比照各省輪廓繪出省界線，然后將圖層根據(jù)省份名稱字段進(jìn)行符號化呀，想設(shè)置什么顏色可以自己選擇了。
arcgis 10.0如何制作四色地圖呢
根據(jù)不同的圖層設(shè)置符號、線型、顏色，然后在布局窗口輸出就是你需要的地圖了
mapgis中怎么填充顏色，是區(qū)域地質(zhì)圖。
如果你不需要過拓?fù)錂z查就按如下操作：
1.新建區(qū)文件（WP），并設(shè)置成編輯狀態(tài)。
2，點(diǎn)工具欄里邊的區(qū)-圖形造區(qū)-選擇所需造區(qū)的線邊界，然后點(diǎn)右鍵就出來區(qū)了。
3，在區(qū)-修改區(qū)參數(shù)中修改所需填充的顏色
4，如果要過拓?fù)湓靺^(qū)檢查，就必須用區(qū)-線工作區(qū)提取弧段進(jìn)行造區(qū)。
在arcgis制圖中，以下要素的填充色都是什么？ 城市、建制鎮(zhèn)、村莊、采礦用地、風(fēng)景名勝及特殊用地
城市電子地圖大多是大比例尺的地圖，涉及到的地圖要素主要有居民地、道路、注記、水系、植被、境界、要素點(diǎn)等。下面列出了這些要素的主要配色方案：
l 居民地：粉紅色、淺棕色
l 道路：淺黃色、淺棕色或者白色
n 不同等級的道路可以將色彩逐級加深，例如三級道路用淺黃色、二級道路用土黃色、一級道路用深棕色等。
l 注記：
n 公園名稱的標(biāo)注可以用深綠色楷體字表示；
n 單位名稱的標(biāo)注可以用宋體，對于 *** 機(jī)構(gòu)的用紅色宋體字表示；
n 山脈、地名名稱的標(biāo)注可以用黑色黑體字表示。
l 水系：
內(nèi)陸河流、湖泊可以用淺藍(lán)色； 海洋可以用深藍(lán)色；
l 植被：主要使用綠色表示。
l 要素點(diǎn)：主要用矢量符號表示。
城市電子地圖配色的基本原則是：色彩不要太過濃重，盡量選擇一些淺淡、素雅的顏色進(jìn)行搭配，這樣對于使用者來說看起來比較舒服，不會有太刺眼的效果。
gis地圖色塊的介紹就聊到這里吧，感謝你花時間閱讀本站內(nèi)容，更多關(guān)于gis調(diào)顏色、gis地圖色塊的信息別忘了在本站進(jìn)行查找喔。
