openstreetmap

How to fill water bodies with OSMnx in Python

由 ♀尐吖头ヾ 提交于 2020-06-29 04:08:11
问题 I currently use OSMnx for a project to draw road networks in an area. I'd now like to add water bodies so that we can clearly see which parts of an area are water and land. So far, I've been able to identify waterbodies using the custom_filter argument to OSMnx's graph functions. I can then outline the waterbodies using the plot_graph function. Ideally, I'd want to fill the waterbodies in (rather than only outline them). I feel like this should be possible, as in OpenStreetMap water bodies

(OFF Line MAP) how to download osm tiles to use OFF LINE MAP in react-native-maps

由 喜欢而已 提交于 2020-06-23 18:48:38
问题 Respected sir/ma'am I want to implement offline osm map in my project. but i don't found any proper documentation for how to download tiles for offline usage. i am currently using react-native-maps package for implementing custom Tile Overlay import { LocalTile } from 'react-native-maps'; <MapView region={this.state.region} onRegionChange={this.onRegionChange} > <LocalTile /** * The path template of the locally stored tiles. The patterns {x} {y} {z} will be replaced at runtime * For example,

(OFF Line MAP) how to download osm tiles to use OFF LINE MAP in react-native-maps

由 ♀尐吖头ヾ 提交于 2020-06-23 18:48:29
问题 Respected sir/ma'am I want to implement offline osm map in my project. but i don't found any proper documentation for how to download tiles for offline usage. i am currently using react-native-maps package for implementing custom Tile Overlay import { LocalTile } from 'react-native-maps'; <MapView region={this.state.region} onRegionChange={this.onRegionChange} > <LocalTile /** * The path template of the locally stored tiles. The patterns {x} {y} {z} will be replaced at runtime * For example,

(OFF Line MAP) how to download osm tiles to use OFF LINE MAP in react-native-maps

由 社会主义新天地 提交于 2020-06-23 18:48:04
问题 Respected sir/ma'am I want to implement offline osm map in my project. but i don't found any proper documentation for how to download tiles for offline usage. i am currently using react-native-maps package for implementing custom Tile Overlay import { LocalTile } from 'react-native-maps'; <MapView region={this.state.region} onRegionChange={this.onRegionChange} > <LocalTile /** * The path template of the locally stored tiles. The patterns {x} {y} {z} will be replaced at runtime * For example,

How to use google maps offline in react native

由 倾然丶 夕夏残阳落幕 提交于 2020-06-10 12:59:24
问题 I'm trying to enable users to use maps offline in my react native App, I'm using react-native-maps I want to provide the offline mode just for a predefined area (let's say a city), therefore I need to download all the needed tiles which will be a huge number of images, so I wonder if there is a way in the google map API to download an area of the map (like in google map app)? from the documentation it is possible to enable caching, which I do the same thing (according to the doc) however, In

python实现OSM文件转为JSON格式

由 不打扰是莪最后的温柔 提交于 2020-05-07 21:19:32
OSM是OpenStreetMap的开源数据格式，采用xml存储。这里将其转为json后可以加载到Spark/Hadoop等系统中进一步处理，也可以直接转入GIS软件中使用。 提取OpenStreetMap的osm文件(xml格式)，转为json并保存到三个文件。 采用递归方式处理，内存消耗少，适合大文件的处理，速度很快。 from pprint import * import json # 将指定tag的对象提取，写入json文件。 def process_element(elem): elem_data = etree.tostring(elem) elem_dict = xmltodict.parse(elem_data,attr_prefix="",cdata_key="") #print(elem_dict) if (elem.tag == "node"): elem_jsonStr = json.dumps(elem_dict["node"]) fnode.write(elem_jsonStr + "\n") elif (elem.tag == "way"): elem_jsonStr = json.dumps(elem_dict["way"]) fway.write(elem_jsonStr + "\n") elif (elem.tag == "relation"):

土地覆盖/土地利用简介及数据集

由 荒凉一梦 提交于 2020-05-06 01:20:51
1 简介 土地覆盖：地球表面当前所具有的自然和人为影响所形成的覆盖物，是地球表面的 自然状态 ，如森林、草场、农田、土壤、冰川、湖泊、沼泽湿地及道路等。 土地利用：是人类在生产活动中为达到一定的经济效益、社会效益和生态效益， 对土地资源的开发、经营、使用方式 的总称。 两者的区别: • 土地利用表示与土地相结合的人类活动而产生的不同利用方式，反映土地的 社会和经济属性 。 • 土地覆盖表示地球表面存在的不同类型的覆盖特征，强调的是土地的表面形状，反映土地的 自然属性 。 土地利用/土地覆盖分类系统 LULC分类系统是根据人类土地利用行为的目的、方式等不同，将一定时期的土地利用行为分为若干种类型，由这些类型组成的有一定结构关系的系统框架(包括类型名称、识别标准、类型之间的联系等)。一般采用 分级结构 。 可参考文献： http://sourcedb.igsnrr.cas.cn/zw/lw/201112/P020111207607064684999.pdf 可用来进行土地利用/土地覆盖分类的遥感信息源选取： 主要使用空间分辨率为米级至1公里的可见光及近红外波段遥感数据．如GF-1、GF-2、HJ-1A/B、ZY-1 02C、IKONOS、Landsat-TM 、MSS、CEBERS、SPOT–HRV、NOAA-AVHRR及MODIS等。 分类方法 • 目视解译定性分析方法 •

（数据科学学习手札82）基于geopandas的空间数据分析——geoplot篇(上)

由 纵饮孤独 提交于 2020-05-04 08:37:24
本文示例代码和数据已上传至我的 Github 仓库 https://github.com/CNFeffery/DataScienceStudyNotes 1 简介 　　在前面的 基于geopandas的空间数据分析 系列文章中，我们已经对 geopandas 的基础知识、基础可视化，以及如何科学绘制分层设色地图展开了深入的学习，而利用 geopandas + matplotlib 进行地理可视化固然能实现常见的地图可视化，且提供了操纵图像的极高自由度，但对使用者 matplotlib 的熟悉程度要求较高，制作一幅地图可视化作品往往需要编写较多的代码，而 geoplot 基于 geopandas ，提供了众多高度封装的绘图API，很大程度上简化了绘图难度，就像 seaborn 之于 matplotlib 。 图1 　　本文是 基于geopandas的空间数据分析 系列文章的第6篇，通过本文你将学习 geoplot 中的基础绘图API。 2 geoplot基础 　　推荐使用 conda install --channel conda-forge geoplot 来安装 geoplot ，可以避免很多恼人的依赖包问题。首先我们从一个简单的例子来初探一下 geoplot 的基础使用流程： 2.1 从一个简单的例子出发 　　我们下面所使用到的数据： nyc-boroughs.geojson

Reading OSM Map (or other format) files to determine shortest distance from coordinate to path

由 南楼画角 提交于 2020-04-19 11:43:43
问题 My App uses openstreetmap files to show waypoint (or coordinates) on a map. Based on an Openstreet map file: how can I determine the shortest distance from a GPS coordinate to the (walking) path. Can I read an OSM (map) or .osm file ... to access the paths? 回答1: There are some misconceptions. First, the OSM file is not the map file. The OSM file can be used to create a format to make map rendering fast e.g. mapsforge format does this. With e.g. GraphHopper you import the OSM file like .pbf or

Reading OSM Map (or other format) files to determine shortest distance from coordinate to path

由 …衆ロ難τιáo~ 提交于 2020-04-19 11:41:28
问题 My App uses openstreetmap files to show waypoint (or coordinates) on a map. Based on an Openstreet map file: how can I determine the shortest distance from a GPS coordinate to the (walking) path. Can I read an OSM (map) or .osm file ... to access the paths? 回答1: There are some misconceptions. First, the OSM file is not the map file. The OSM file can be used to create a format to make map rendering fast e.g. mapsforge format does this. With e.g. GraphHopper you import the OSM file like .pbf or
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