在ArcGIS中填充100平方米块
我有四年的数据概述了在特定区域发现物种的位置（我正在查看分布是否扩大等）。我成功地将数据转换为一种格式，可以显示该物种是否存在于 100 平方米的样方内。我在调查区域上覆盖了一个 100 平方米的网格，现在我在发现该物种的每 100 平方米区块的左下角都有一个彩色点（我真的希望这使得感觉！）。
但是，我不希望每个块的西南角有彩色数据点，我希望这些块被完全填充，这就是我遇到的死胡同......这可能吗？我认为这是因为我见过带有这样的地图的论文，但我不知道该怎么做！
I have four years worth of data outlining where a species has been found in a particular area (I'm looking at whether the distribution has expanded, etc). I've managed to convert the data into a format where it shows if the species was present within a 100m2 quadrat. I've overlaid a 100m2 grid over the survey area, and I'm now at a stage where I have a coloured point at the bottom left hand corner of every 100m2 block where the species has been found (I'm really hoping this makes sense!).
However, I don't want the coloured data point in the south west corner of each block, I'd like those blocks to be completely filled in and that's where I've hit a dead end....is this even possible? I assume it is as I've seen papers with maps done like that, but I have no idea how to do it!
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如果您有：
file1 = 物种位置的一组点
file2 = 多边形 shapefile 网格
使用标识工具，其中 file2 要素由 file1 标识。
然后对生成的文件的符号系统进行分类。
If you have:
file1 = a set of points for species location
file2 = a polygon shapefile grid
use the identity tool where file2 features are being identified by file1.
Then classify the symbology of the resulting file.
听起来您正在尝试使用矢量数据来完成此任务。如果是这样，我建议使用
DataManagement/Fishnet工具创建网格。1) 输入原点坐标和像元大小。
2) 将几何类型更改为多边形（默认为折线）。
3) 创建
鱼网。4) 使用
按位置选择工具根据数据点选择网格方块。5) 给它们上色。
您甚至可能想使用
空间连接来为您的网格提供所需的物种属性，这将允许您使用更高级的可视化技术。Sounds like you're trying to use vector data to accomplish this. If so, I would recommend creating your grid using the
DataManagement/Fishnettool.1) Enter your origin coordinate and cell size.
2) Change geometry type to polygon (default is polyline).
3) Create the
fishnet.4) Use the
Select by locationtool to select your grid squares based on your data points.5) Color them in.
You may even want to play around with a
spatial jointo give your grid the desired species attributes, which would allow you to use more advanced visualization techniques.