![]() ![]() Take note of the current spreadsheet URL in your web-browser. Go to “File”, “Publish to the web…” and publish the entire spreadsheet.In your google spreadsheet, click on the “share” button and choose “Anyone on the internet can find and view”.To imagine this even happening, let’s take the first step of actually finding out how to extract data from a given Google Spreadsheet as a JSON feed using javascript. Imagine if you could then use this very spreadsheet to dynamically feed a geo-temporal map viewer web application… Imagine this spreadsheet having locational parameters (latitudes and longitudes) and temporal attributes (date). Anybody, anywhere can access and edit this document with permission. The speed increased considerably when we moved to the NoSQL database.Īnother thing I can mention is that, using MongoDB, at least the way we were implementing the project, made our efforts to build the queries smaller because instead of building SQL strings to perform complex queries, we took advantage of the object-formatted way of building queries using a lib for MongoDB.īy the way, it is important to say that we used PHP in that project.Imagine a collaborative project where you have your data stored on a shared Google Spreadsheet. We had more than 50k features (geometries represented in GeoJSON) and we had to query them frequently. I don't have any bookmarks stored from that time, but what I can tell you is that, back at that time, we chose to migrate our geospatial database to MongoDB and the results were incredible. I have never worked with PostgreSQL to deal with Geospatial data, even though I'm aware it is widely used around the world this purpose.īut I had the chance to work with MySQL 5.6/5.7 to manage layer and GeoJSON in a smart city project I've participated in. Hi you so much for interacting with the post. These are some of the most basic geospatial structures that MongoDB supports: Most of the database engines provide functions to query GeoJSON and one of them is MongoDB which, by the way, has been pretty optimized for spatial operations since version 3.2. Ii) a Polygon intersects another Polygon īut, depending on the size of the involved layers, manipulating or comparing them directly with JavaScript, in the browser, might cause performance issues since the memory usage tends to increase even more if they need to be rendered on a map.Ī good solution for this case is to perform any required geospatial operation directly in the database. By making use of geospatial operations, it is possible to determine, for example, if: So, when working with more than one layer in a map, it is common to perform operations between them to determine their geospatial relationship within a context. Layers generally reflect collections of objects that you add on top of the map to designate a common association.Ī Layer can have different formats and one of them is GeoJSON. Layers are objects on the map that consist of one or more separate items but are manipulated as a single unit. When building maps for a web application, it is common to deal with something we call "Layers". Several third-party map libraries provide GeoJSON support for front-end applications, some of them are:Ĭonsidering that now you know a little bit more about GeoJSON, let´s move to the manipulation bit. It is a format widely used across JSON-based applications to read, manipulate and compare geospatial data. GeoJSON uses a geographic coordinate reference system, World Geodetic System 1984, and units of decimal degrees. ![]() It defines several types of JSON objects and the manner in which they are combined to represent data about geographic features, their properties, and their spatial extents. GeoJSON is a geospatial data interchange format based on JavaScript Object Notation (JSON). Since 2015, it has an official specification created by its original authors with the collaboration of the Internet Engineering Task Force (IETF). GeoJSON is a format for encoding a variety of geographic data structures created and published in 2008. Have you ever heard of GeoJSON? If not, let me explain it to you.
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