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Atma Mani
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Merge pull request Esri#465 from Esri/july02_webinar
- July 2 2019 Webinar Added.
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‎talks/GeoDevWebinar_July02_2019/01-GIS_DEMO/01 - GIS Basics.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# GIS Basics"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- Authentication\n",
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"- Searching and Using Content\n",
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"- Mapping Information\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## It Starts with an Import..."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Connecting to AGOL Anonymously"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from arcgis.gis import GIS\n",
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"gis = GIS()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Supports Multiple Authentication Methods"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- Oauth 2.0\n",
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"- PKI\n",
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"- IWA\n",
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"- Named User"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"gis = GIS(username='webinaruser')\n",
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"gis.users.me"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Store Credentials Using Profiles**\n",
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"\n",
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"- Store login information locally using OS credential store"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import getpass\n",
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"password = getpass.getpass()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"gis = GIS(username='webinaruser', \n",
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" password=password,\n",
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" profile='webinar_demo')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"del gis\n",
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"gis = GIS(profile='webinar_demo')\n",
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"gis.users.me"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### GIS the Entry into WebGIS"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- Access, add, publish and share content\n",
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"- Manage, modify and control your Portal/Server (administrators)\n",
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"- Build your digital geo-spatial community"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Searching for Content\n",
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"\n",
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"- Two Methods:\n",
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"\n",
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" + `search` - simple search\n",
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" + `advanced_search` - provides complete control on how filters, name and responses are returned\n",
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" "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Simple Search\n",
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"\n",
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"- Easy to use search interface\n",
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"- Provides back a list of `Item` objects\n",
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"- Limited to **1000** features"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from IPython.display import display"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"results = gis.content.search(\n",
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" query=\"United States owner:esri\",\n",
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" outside_org=True,\n",
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" item_type=\"Feature Layer\")\n",
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"for item in results:\n",
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" display(item)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Advanced Search\n",
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"\n",
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"- Provides custom paging \n",
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"- Response is a dictionary\n",
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"- Results can comeback as an `Item` or `Dictionary`\n",
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"- Provides Search Statistics"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"query = (\"owner:esri United States (type:(\\\"Feature Collection\\\" OR \\\"Feature \"\n",
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" \"Service\\\" OR \\\"Stream Service\\\" OR \\\"WFS\\\") -typekeywords:\\\"Table\\\")\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"gis.content.advanced_search(query=query,\n",
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" return_count=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"for result in gis.content.advanced_search(query=query,\n",
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" start=10)['results']:\n",
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" display(result)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Visualizing Content"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The `GIS` object provides a widget to visualize spatial data\n",
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"\n",
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"- Define location by:\n",
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" + extent\n",
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" + address\n",
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"- Set the `basemap`\n",
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"- Customize layers look and feel\n",
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"- Save it to a WebMap"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"m = gis.map('Youngstown, PA')\n",
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"m.zoom = 9\n",
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"m"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Example: Looking at the Basemaps**"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import time\n",
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"for b in m.basemaps[0::2]:\n",
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" print(b)\n",
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" m.basemap = b\n",
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" time.sleep(2)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"m.basemap = 'dark-gray'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"water = gis.content.get(\"9dff3cf646704abd9e74265f02abeb09\")\n",
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"rivers = gis.content.get(\"0baca6c9ffd6499fb8e5fad50174c4e0\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"m.add_layer(water)\n",
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"m.add_layer(rivers)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"webmap_item = m.save(item_properties={\n",
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" 'title' : \"USA Water Bodies\",\n",
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" 'snippet' : \"Water Bodies\",\n",
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" 'description' : \"Water Bodies in the USA\",\n",
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" 'tags' : 'water, rivers, lakes'\n",
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"})\n",
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"webmap_item"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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