Questions tagged [geospatial]

pertaining to the geographic location and characteristics of natural or constructed features and boundaries on, above, or below the earth's surface; esp. referring to data that is geographic and spatial in nature.

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12 views

GIS Data on US College Dormitories

I am trying to find spatial data on all (or as many as possible) US college dormitories. Specifically, I want to find the location as a polygon or centroid. I have tried a few methods to acquire this ...
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26 views

How to use Lat/Lon in machine learning prediction?

I am research meteorologist working with hurricane model forecasts of track (millions of lat/lon pairs) and their verified lat/lon pairs (essentially where the hurricane actually went). With the ...
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Tableau unable to map locations when names are similar

I have created a custom geocoding solution by inserting my own tables in a hyper file. I had a Names column where I had names in different formats for example a) 10.1.7.10 b) 10171.0 When I created my ...
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23 views

Geospatial clustering plot with zoom in Python?

I need to construct an interactive clustering plot. Ideally as the user zooms in the clusters would split-up into smaller clusters at certain zoom levels. I am planning to have several discrete levels ...
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16 views

Approach for spatial interpolation and filtering

I have several GeoTIFF images with one band (time-series of vegetation values) for one area however, taken from different orbits (positions), so I need to do either ...
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16 views

Save CSVs as hyper file

I have three separate CSV files (Points.csv, PointsSynonym.csv, and LocalDataPoints.csv). I made these files after extracting data from shape files and .gpkg files. I would like to save them all a ...
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18 views

Metrics for spatial datasets

I'm working on a dataset of computer game replays. Each replay file describes the game of two players as a timeseries of game commands, where each command has a type and coordinates, like so: ...
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What is a good way to handle nominal spatial data with a changing number of categories to use in prediction model?

For a project I'm going to be working with spatial data with a nominal attribute (land use). Every year the number of categories for this attribute changes because categories split or merge. I do have ...
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28 views

Solve for the set of coordinates that reduces the average distances between request and server in half

I generate a DataFrame with coordinates and distances to 3 servers. ...
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35 views

Feature scaling for clustering

I want to cluster groups, using K-Means, DBSCAN, etc. algorithms, based on lat-lng coordinates along with other features such as dummy variables, continues variables (in different units). What would ...
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6 views

Recommendations for notable papers/analyses that make use of 'big' spatial data?

This is a reference request. I am seeking papers that make use of 'big' (subjective) spatial datasets in their analyses. While I am open to machine learning papers, I am also interested in papers that ...
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24 views

Finding Correlations in two Datasets

I have an assignment where I am trying to find correlations between Lightning Strikes and Telecommunication damage. The two datasets consist of many columns (especially the human-recorded ...
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18 views

Destination prediction with Naive Bayes and sparse output matrix

Given a dataset of historical cab rides, I'm trying to predict the final zip code destination of a ride based on the following features: origin zip code (e.g. 10006 Wall Street, Manhattan) pickup ...
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36 views

How to handle multi-channel 2-D geo-spatial grid like data samples in machine learning with number of features associated with each grid?

I am looking into a problem wherein the whole geographic area is divided into number of bins/pixels so we get nxn matrix covering whole region. Now each bin/pixel has number of parameters/features ...
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40 views

Spatially constrained geospatial similarity

What's the current methodology for clustering geospatial data by features? Example: I have some demographic dataset. Let's say this contains average home price and population density. So, an example ...
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85 views

Data Engineering Stack - collect, transform and visualize geospatial data

I'm making a side project, where I collect geospatial data by web scrapping and from OSM API. I've started with simple Java application, however, I would like to make it as a data flow, purely for ...
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25 views

Derivative of multi-output Gaussian Process

I am working on a project where I estimate transition and measurements models for a kalman filter using Gaussian Processes. In order to linearize the models I require the Jacobian of the estimated ...
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58 views

Geo Add-on Choropleth Widget not found

I am trying to create a Choropleth map using the Chorolpeth widget from the Geo Add-on in Orange. However, this widget is not appearing? Any ideas? My current version: Orange version 3.24.1 for ...
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13 views

How to measure the distance (in generalized sense) between geographical regions? [closed]

I need to construct a distance matrix for a few U.S. counties that are adjacent to one or another, and choosing the definition of distance is very tricky. The shortest path (i.e the minimum number of ...
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39 views

"Smearing" probabilities or how to handle imprecise locations for canonically classification-type problems

I am trying to predict failures at different nodes on a line. Each node has different weather features and hardware/configuration features. For a little under half of the historical failures I have, I ...
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15 views

Train building classifier for imagerial data

I am using the https://www.arcgis.com/ api for accessing imagery of aerial data. I would like to train a model that can caputure on the imagery if the provided ...
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68 views

How to plot a world map with cities in the right locations?

The data source is a CSV with cities in various countries in the world, each city has some numeric data associated with it. df.columns looks like: ...
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3answers
66 views

How to best use geographical information as a factor?

I am trying to predict crime rates and I have naively used lat and long as two separate factors (which seem to work well!). Are there any best practices for location as a factor?
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115 views

Can a machine learning model be trained on Call Detail Record(CDR) Data to predict user's daily locations?

I have a CDR data for two months and my goal is to extract daily or frequent locations(cell towers) of the user along with the departure and arrival time on those locations. The spatial resolution of ...
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2answers
62 views

Is there an alternative to Google Maps to find GPS coordinates of a place in Germany?

For probably any place on Earth, you can search it in Google Maps, make right-click, pick the option "What's here" and you get GPS coordinates. If I don't want to use Google Maps API, is there an ...
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33 views

Unsupervised Learning::Satellite Images::Single Bands

Has anyone has success with building models using KMeans for classification? I have images that only have one band and it continues to fail. My guess is that the issue is with both size of the image ...
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16 views

fast processing: changing the column value in a geospatial environment

I have a table whose header looks like this: complaint_type, borough, street_name, incident_zip, latitude, longitude 1) I want to check if the "incident_zip" column of each row is in a specific list ...
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41 views

Changing the value of a column based on the condition on another column

I have a table whose header looks like this: complaint_type borough street_name incident_zip latitude longitude I want to check if the "incident_zip" column of each row is in a specific ...
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103 views

How do I get the latitude and longitude information contained csv file? [closed]

I have already done a project on "Segmenting and Clustering Neighborhoods in Toronto" using the latitude and longitude information contained CSV file link attached with the question[http://cocl.us/...
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21 views

High Level Discussion: Generate synthetic sensor data using data from surrounding sensors

Let's assume I have readings coming from sensors. For every sensor, I have the following information: all the data it reads its location Now, given an arbitrary sensor at an arbitrary location ...
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65 views

GPS Data Preprocessing Recommandations?

GPS Data Preprocessing I got gps traces of busses which traveled from one place (bus station) to another. This file contains relevant(eg:- Data recorded between the starting bus station and ends ...
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4k views

Create Nodes/Edges From CSV (latitude and longitude) for Graphs

The Ultimate Goal: I want to find the shortest and coolest (in terms of temperature) path between two points (for a given pair of latitudes and longitudes on the map)! I am aware of algorithms like ...
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1answer
59 views

Representing geospatial information

I am trying to train a model to predict the location of a storm at a given time. The dataset includes the longitude and latitude of the storm at the given "timestamps" but I am not sure if that is the ...
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44 views

How to include both origin and destination in your features?

I'm trying to predict the price of transportation for trucking freight. Two important features that I think would be of great impact are Origin and Destination. What's the best way to include that in ...
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96 views

geo spatial clustering based on another feature

I have data about houses for sale, that I present over a map. Each house has coordinates ([lat,lng]) and other features. The data is only for one country, so no need to address the 180deg world wrap....
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537 views

Calculate probability vector from sample data

I'd like to compare two distributions using Jensen-Shannon Divergence metric. To do this, I need two probability vectors to plug into distance.jensenshannon(p, q). ...
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17 views

Automatically assess training data quality for land cover classification system

I am working on a Land cover classification system, wherein, Sentinel-hub imagery is being used to categorize the land cover by using a time series of multispectral imagery. Training data is being ...
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30 views

Image and Video Formats with lossy-compression and fast subregion lookup?

I'm looking for image / video file formats that support lossy compression to reduce disk size and allow for fast subregion lookup. i.e. dont read the entire file when you only need to lookup a small ...
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204 views

Clustering based on geolocation pair

I am trying to process a large set of location data where a list of start and end coordinate is given. For example, ...
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2k views

Multidimensional scaling producing different results for different seeds

I took the data from here and wanted to play around with multidimensional scaling with this data. The data looks like this: In particular, I want to plot the cities in a 2D space, and see how much it ...
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77 views

Probabilistic Machine Learning model to match spatial data

I have spatial data from multiple sources. This data consists of ID, lat, long, and time. My goal is that given a new lat-long, the model needs to return (preferably with a probability) the data ...
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152 views

How to encode H3 geohash in regression model

I'm trying to train a random forest regression model based on a number of features, including location. I know that raw lat/long can't be used directly, so I've bucketed them using H3. I'm struggling ...
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639 views

Predict Best Branch Locations For a Company

I have a dataset of existing 156 branches of my company with the longitude and latitude of each branch. Now we want to open 10 more branches. How can we predict the best locations for opening the new ...
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259 views

Find frequent segments of GPS trajectories

I have a dataset containing GPS coordinates (latitude and longitude), a timestamp variable and a subject ID to identify different persons. What I want to explore is two things: Find frequent routes (...
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1answer
65 views

How to merge personalized models together

Let's say I'm building an app like Uber and I want to predict the user's most likely destination based on the user's past history, current latitude-longitude, and current date and time. We have ...
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80 views

Splitting a geospatial data set with existing groupings

Data set: I have a data set consisting of trip data for a large number of cars. The raw data consists of rows with (GPS) coordinates, timestamp, current fuel consumption, temperature, etc. It has been ...
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606 views

Conditional clustering

I have a dataset consisting of addresses (points) that have several attributes; one that distinguishes the "sort" of address and one anntribute that contains a numerical value. I want to cluster ...
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65 views

Setting up Neural Network for this problem

I have a question regarding neural networks considering I am not an expert in NN. Assume have a 5 by 5 grid that depending on me pushing any square (or combination of squares) some of those squares (...
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716 views

How to best visualize data when outliers lead to lack of contrasting colors for the rest of the plot?

I have plotted the following map of Philippines according to the population in its regions, using matplotlib.pyplot in Python 3: As can be seen, there's one ...
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62 views

How can I use geo location for predictive modelling [closed]

While determining the house price I don't want to throw away geo location as feature. At least I want to see if there is correlation. Geo-location is more like categorical variable. Is there a way to ...