Leaflet.js add/remove control from Map

Leaflet.js add/remove control from Map

I am attempting to combine two fine plugins Leaflet Easy Button and Leaflet Routing Machineand i can't quite get it to work. what I want seems simple enough, I would like to have a button that when clicked adds and removes the routing control to the map. currently I can add the button and control and have the button remove it but I dont know how to get some sweet toggle like functionality.

I am currently stuck with this:

var route = L.Routing.control({ waypoints: [ ], units: 'imperial', geocoder:, routeWhileDragging: true }).addTo(map); L.easyButton('fa-compass', function (){route.removeFrom(map)}, 'Routing' );

Also, I have tried manipulating the DOM elements using this post but I havent had any luck.

change the easy button function to:

L.easyButton('fa-compass', function (){ $('.leaflet-routing-container').is(':visible') ? route.removeFrom(map) : route.addTo(map) }, 'Routing' );

This just applies a simple ternary operator to determine whether to add or remove the route control (and uses jQuery to detect the visibility of the routing container).

Creating Maps to Illustrate Trends

Using InfoAssist , you can create maps to identify patterns or trends in your data. By converting data into values that can be displayed on a map, you are able to visualize scenarios, illustrate hot spots, and identify potential problem areas. For example, a law enforcement agency may use mapping functionality to identify areas of higher crime within the locations they cover. You can also use maps to determine how places are related, understand where things are located, and identify the best actions to take. By illustrating trends on a map, a decision maker can identify patterns easily, and reach conclusions sooner.

An early example of how maps can be used to illustrate trends is the case of Dr. John Snow, an epidemiologist who was one of the first to use data to map occurrences of cholera to find the cause of infection. By plotting the cholera data on a map of a town, Dr. Snow was able to visualize a trend that showed higher incidences of cholera closest to water pumps. This example is shown in the following image.

Maps also allow you to measure size, shape, and distribution to detect and quantify patterns, and even perform predictive analytics. An example of how maps can help detect and quantify patterns is the scenario in which a state agency used a WebFOCUS mapping application to solve a problem with their food stamp system. Using this application, odd food stamp redemptions, such as rounded numbers transactions, were discovered. By plotting those transactions on a map, the agency discovered that the redemptions appeared in the same geographic location. Upon further investigation, the agency identified that individuals were selling their food stamps at reduced prices, $50 worth of food stamps for $40 in cash, to others instead using them as intended. This map example is shown in the following image.

When working with maps, the concepts of location intelligence and business intelligence are important to understand. A Geographic Information System (GIS) captures, stores, analyzes, manages, and presents data linked to a location, while Business Intelligence (BI) relies on the conversion of raw data into meaningful information. Location intelligence is the process of analyzing data to make better business decisions. It combines GIS and BI/Analytics to allow the recognition of patterns in your data, including the visualization and discovery of geospatial outliers, which would not be easily discovered if you use the technology independently and separately.

More specifically, maps use non-intrusive GIS workflows with existing data. You can view symbol layers for data bound to a geo-location, such as state, country, and ZIP code, in an integrated map viewer. Using metrics from your data, you can also visualize geographic roles or dimensions. Geographic roles, or dimensions, can be built directly into your Metadata or assigned to a data field when you create a map.

Why is select by drawing a rectangle not working in ArcMap?

I click on the select features tool on the toolbar and when I make a rectangle around the points I want to select it doesn’t select them.

Does anyone know what I may be doing wrong or how I may select points by making a shape around them?

6 Answers

I ran into this before as well. What I had done is changed the 'Interactive Selection Method' to 'Remove From Current Selection,' so every time I tried to select something, I was actually deselecting nothing!

Table of Contents | Right-click layer | Selection | Make this The Only Selectable Layer

Selection (from ribbon) | Interactive Selection Method | Create New Selection

This should do it for you.

Answered 2 months ago by soonerale with 0 upvote

I had similar problem. Could not select from the select feature, and clear selected feature stays gray. So my layer was not yet projected.

To correct this click on the layer, then Data, then Export data, then OK. Then from the newly created layer you can select features.

Answered 2 months ago by stefan with 1 upvote

I am using ArcGIS 10.2 and was also not able to select features.

I was able to select features again by going to "selection" tab> "Interactive Selection Method" > check "Create New Selection"

If the "Select from Current Selection" choice is checked and there are no features currently selected then the select features tool will not be able to do anything. This was my problem.

Answered 2 months ago by Mike Towle with 3 upvotes

In ArcGIS 10.0 and above, the 4th icon from the left at the top of the Table of Contents pane is where you can toggle off/on whether layers are selectable or not. You can also use Hyperion's suggestion of setting points to be the only selectable layer. I've never seen where the layer has to be highlighted in the TOC, but maybe that's a version of Arc I haven't worked with.

Answered 2 months ago by recurvata with 0 upvote

Also I common mistake I have made is not having the layer set as a selectable layer in ArcGIS. An easy fix for this is to right click on the layer in the Table Of Contents, chose "Selection", and then select "Make This The Only Selectable Layer".

A better way to go would be to enable the the "Set Selectable Layers" tool somewhere in the customize menu. Unfortunately i don't have ArcGIS in from of me an can't walk you through the steps at the moment.

Answered 2 months ago by Hyperion with 8 upvotes

wild stab in the dark, but if you're using QGIS you need to ensure that the layer containing the points is highlighted in the layers list for the selection to work.

Same I believe goes for ArcGIS (i.e. the layer needs to be highlighted in Table of Contents).

In MapInfo you need to check that the layer is 'selectable' in layer control, and be aware that MapInfo will drill down through the layers in your workspace (top down) until it finds something that it can select, therefore if a layer located higher in the layer control is selected, the selection will not get down to your point layer.

Geo-Coordinated Parallel Coordinates (GCPC): Field trial studies of environmental data analysis

The large number of environmental problems faced by society in recent years has driven researchers to collect and study massive amounts of data in order to understand the complex relations that exist between people and the environment in which we live. Such datasets are often high dimensional and heterogeneous in nature, with complex geospatial relations. Analysing such data can be challenging, especially when there is a need to maintain spatial awareness as the non-spatial attributes are studied. Geo-Coordinated Parallel Coordinates (GCPC) is a geovisual analytics approach designed to support exploration and analysis within complex geospatial environmental data. Parallel coordinates are tightly coupled with a geospatial representation and an investigative scatterplot, all of which can be used to show, reorganize, filter, and highlight the high dimensional, heterogeneous, and geospatial aspects of the data. Two sets of field trials were conducted with expert data analysts to validate the real-world benefits of the approach for studying environmental data. The results of these evaluations were positive, providing real-world evidence and new insights regarding the value of using GCPC to explore among environmental datasets when there is a need to remain aware of the geospatial aspects of the data as the non-spatial elements are studied.


Navigation Edit

Navigation provides turn-by-turn voice guidance for driving, walking, biking and public transport with route calculation done on the device. Typical features like estimated time of arrival and automatic rerouting are supported.

Traffic aware routing and real time arrival for public transport are not supported.

  • Optional lane guidance, street name display, and estimated time of arrival
  • Supports intermediate points

Maps Edit

Map files are downloaded to the device by selecting which countries or regions are wanted and what data you want for that region. The files are updated monthly based on OpenStreetMap. Searching files by address, name or coordinates offline is supported.

Tile and raster maps can be viewed by enabling the Online Maps plugin. This allows viewing tiles from a server when online or viewing locally saved tiles when offline. Notably, this allows satellite views from Microsoft and Yandex to be used.

Street level imagery can be viewed using Mapillary, Wikidata or Wikimedia Commons. [6] The imagery is user-submitted for each source so quality and coverage will vary.

  • Places can be saved as favorites
  • Display POIs (point of interests)
  • Optionally display place names in English, local, or phonetic spelling

Wikipedia Data Edit

Wikipedia POIs can be downloaded and viewed offline in the app.

Wikivoyage travel guides have been supported since 2018. [7] They can be downloaded and used offline from within the app.

Customization Edit

OsmAnd allows customization of most things through the user interface, user editable xml files or creating plugins. Navigation can be changed to avoid certain roads or types of roads, avoiding size and weight restricted roads and announcing traffic warnings and crosswalks. The rendering style of maps can be changed or custom maps can be created using your own data. OsmAnd publishes a standalone program called OsmAnd Map Creator that creates map files from data in the OSM format.

OsmAnd Plus Edit

OsmAnd Plus is the paid version of the app. It unlocks unlimited maps, hillshades, slopes and more frequent updates for certain map features through OSMAnd Live. [8] [9] [10]

Safety features Edit

  • Optional automated day/night view switching
  • Optional speed limit display, with a reminder if the user exceeds it
  • Optional speed-dependent map zooming
  • Location sharing and customizable transparency

Bicycle and pedestrian features Edit

  • The maps include foot, hiking, and bike paths
  • Optional trip recording to local GPX file or online service
  • Optional speed and altitude display

Turn on screen on turn feature Edit

Until version 3.2.7 OsmAnd had a feature allowing the screen to be automatically turned on, when arriving at a turn and shut down after the turn. This significantly reduced the phone's electrical consumption, allowing it to be used as a navigation tool when biking and hiking and competing with specialised GPS devices (which are still used due to their low power consumption). Google modified the Play store (not Android) guidelines to no longer allow applications to turn the screen on or off and deleted the paying application OsmAnd+ from the store on March 2, 2019. [11] As a result, this feature was removed from the free and paying versions and OsmAnd was reinstated to the Play store. People can still download the free 3.2.7 version as an APK, while turning off the Play Store's auto-update for this application, in order to use this feature.

Directly contribute to OpenStreetMap Edit

The app comes with a plugin that can be enabled for OpenStreetMap contributions. This allows editing of POIs, opening Notes and uploading gpx tracks to OSM. The edits can then be stored until online and uploaded to OSM using a previously created OSM account.

OsmAnd development is on GitHub, [12] and the source code is available under the GPLv3 license. [13] The application is available on Google Play in both a free [14] and a paid version (OsmAnd+) [15] which works as a donation to the developer, unlocks the download limit for offline maps, and provides access to Wikipedia POIs and their description from within the app. A community-compiled version of the full OsmAnd+ named OsmAnd

without Google Play services dependency is also freely available on F-Droid. [16]

Some of the artwork, such as icons and banners, is licensed under Creative Commons Non-commercial No Derivative Works License with an exception forbidding publishing a fork to main marketplaces. [17]

Pull requests from outside contributors – for both the Android and iOS versions – may be accepted under MIT license. [18]

OsmAnd is developed by a Dutch private limited company, OsmAnd B.V. located in Amstelveen, the Netherlands. [19] [13]

The app has been well rated on the major mobile app stores, particularly for its offline utility. The free version of the Android app has over 70,000 reviews on Google Play with an aggregate rating of 4.5 stars. [20] The iOS app has 1300 reviews and an aggregate rating of 4.5 stars. [21]

OSMAnd has been well regarded when talking about FOSS android navigation apps. [22] Joe Hindy from AndroidAuthority stated "It's probably not as good as something like HERE or Google Maps for online use, but it's among the best offline GPS apps available right now." [23]

Areas of Application

  • High performanve eco-friendly grease trap and drainage cleaner
  • Accepta 7141 is suitable for drainage systems incorporating grease traps and/or pumping stations en-route to a treatment plant or main sewer.
  • Grease traps in kitchens, restaurants and canteens
  • Drainage systems of commercial kitchens
  • Pumping stations
  • Situations where the build-up of grease, oil and fat can lead to blocked drains

Leaflet.js add/remove control from Map - Geographic Information Systems

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited.

Feature Papers represent the most advanced research with significant potential for high impact in the field. Feature Papers are submitted upon individual invitation or recommendation by the scientific editors and undergo peer review prior to publication.

The Feature Paper can be either an original research article, a substantial novel research study that often involves several techniques or approaches, or a comprehensive review paper with concise and precise updates on the latest progress in the field that systematically reviews the most exciting advances in scientific literature. This type of paper provides an outlook on future directions of research or possible applications.

Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to authors, or important in this field. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.

Reflections on positionality and the research process

Being queer and experiencing a pandemic at the same time as researching queer experiences of COVID-19 has been insightful but also challenging. I refer specifically to challenges of dealing with heavy topics and the need for self-care. Sometimes during interviews I feel like I am listening to my own friends. Many of the experiences we are hearing about, such as isolation or increased stress, are close to our own lives. Tiago and I are also living in the UK away from our families during the pandemic, who are in Brazil and Australia respectively. Our ‘family’ here is very much other queer people, a kind of chosen family away from home. The overlap of research subject with personal life has been confronting at times.

We’ve learnt some strategies to help us process what are sometimes difficult and saddening interviews. It’s important to ensure we have time to decompress (so don’t do multiple interviews back-to-back or in the evening before bed!), and we are fortunate we can talk to each other about how the interviews made us feel.

But I also recognise my relative privilege compared to many of our participants, in that I have relatively secure income, housing, access to friends and resources etc…which coupled with the stories people tell me motivates me even more to continue the research, despite difficult topics at times. Tiago says the same for the interviews in Brazil. He describes the motivation of giving voice to people who often don’t have one. I have also benefited from that queer community support and collective resilience described above in helping me cope with the pandemic. It also helps me ground and understand what is happening to and around me at this time, as a citizen, a queer person, and as a researcher. As scholars, I think we ought to think about these issues more critically, particularly regarding mental health for those researchers working in the disaster and humanitarian sector.

Contributions of volunteered geographic information (VGI) to community disaster resilience: The good, the bad, and the uncertain. (#GISRUK2018 conference poster)

Below is a poster I prepared on some work following my PhD research into volunteered geographic information and disaster risk reduction. The work is co-authored by Eleanor Bruce and Josh Whittaker. It was displayed at the 26th GIScience Research UK Conference, University of Leicester, April 2018.
Download the PDF version here: Haworth et al_GISRUK2018_poster


Just a bunch of powerful robotic resources and tools for professional robotic development with ROS in C++ and Python.

Just a bunch of powerful robotic resources and tools for professional robotic development with ROS in C++ and Python.

Lets build a complete open source robotic development environment together.

Coordination and Communication
Documentation and Presentation
Architecture and Design
Development Environment
Code and Run
Build and Deploy
Unit and Integration Test
Lint and Format
Version Control

Sensor Processing
Parallel Processing
Machine Learning
Image Processing
Point Cloud Processing
Static Maps

Behavior and Decision
Planning and Control
Data Interaction
Graphical User Interface
Command Line
Storage and Record
Network Distributed File Systems
High Performance Computing
Point Clouds

Operation System
Network and Middleware
Debugging and Tracing