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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59
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8answers
71k views

Clustering geo location coordinates (lat,long pairs)

What is the right approach and clustering algorithm for geolocation clustering? I'm using the following code to cluster geolocation coordinates: ...
1
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1answer
20 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 ...
4
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1answer
30 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 ...
2
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2answers
363 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 ...
1
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2answers
221 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 ...
2
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2answers
52 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 ...
0
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0answers
7 views

Assessing and observing local correlations

I have some mineralogical data of the Earth and I would like to carry out some statistical analysis on the data to observe correlations between variables locally as finding global relations is near ...
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0answers
24 views

Including spatial spillover for categorical data in R

I did a regression analysis with categorical data with a glm model approach, which worked fine. I have longitude and latitude coordinates for each observation and I ...
1
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1answer
48 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 ...
0
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1answer
26 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 ...
2
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2answers
1k 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 ...
2
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1answer
58 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 ...
0
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0answers
17 views

Weighting for spatial raster as Training Data

I have a spatial raster which I am using as Input for a Random Forest Regression Model. My Goal is a prediction of occurrences of a certain property of individuals for each cell based on cell ...
1
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1answer
256 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 ...
0
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0answers
14 views

Calculate Expected time of arrival using history

I have to calculate Expected time of arrival of a wagon between a source and destination based on the history. I don't have to consider the current condition, but prediction has to be done based on ...
3
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0answers
1k views

How to predict Estimated Time for Arrival given only trajectory data and time?

I have data of latitude, longitude and timestamp. I am trying to build a graph based on pincodes (in India) (equivalent to zipcode). Based on this graph and trajectory data that I have, I want to ...
1
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0answers
15 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 ...
3
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1answer
48 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 (...
0
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0answers
17 views

GEO Choropleth not found

I'm Trying create, from Geo add-on, a Chropleth map in Orange version 3.24.1 for windows . But, this widget just don't appear... some tip?
0
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1answer
11 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 ...
0
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1answer
298 views

Orange3 does not show Geo Map tool on OS X

I am using Orange 3.3.11 and I cannot find "Geo Map" widget on OS X. But the documentation says there is such a widget. How can I find this widget?
1
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1answer
69 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 ...
1
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0answers
36 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 ...
0
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1answer
13 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 ...
0
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0answers
20 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: ...
0
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0answers
17 views

Which methods to predict locations of future crimes based on previous locations?

I know this is dumb which such a small amout of features but, in order to test geospatial prediction: I want test if I can predict the location of 2019-12 crimes based on data between 2018-11 and ...
1
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1answer
27 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 ...
0
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0answers
12 views

access to the didi ditech2016 dataset

a bit off-topic, but I'm trying to locate a famous dataset used in the DiDi DiTech2016 supply-demand challenge. All sources I found point to a single url: http://research.xiaojukeji.com/competition/...
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3answers
41 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?
-1
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1answer
57 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 ...
0
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2answers
33 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 ...
0
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1answer
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 ...
1
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1answer
31 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 ...
0
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1answer
51 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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0answers
18 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 ...
1
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1answer
1k 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 ...
0
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0answers
45 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 ...
0
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0answers
18 views

Get new features from map using pickup/destination longitude and latitude to improve arrival time expectation

I am learning a model to predict the estimated time of delivery for orders. Specifically, from the instance of driver pickup to the point of arrival at its final destination. I attempted this with ...
0
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1answer
44 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....
0
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1answer
277 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). ...
1
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0answers
11 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 ...
0
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1answer
103 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, ...
1
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0answers
113 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 ...
2
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2answers
214 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 (...
1
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0answers
65 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 ...
1
vote
1answer
39 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 ...
3
votes
1answer
699 views

How to collect tweets by geo-location?

I am extracting tweets on brands for sentiment analysis. I am using twitteR package on R. Is there a specific way by which I can only collect tweets from a location ex NY or Paris or Canada etc. I ...
1
vote
0answers
52 views

spatiotemporal prediction using support vector regression

i am using a geographic dataset and i intend to use SVR as machine learning method for predicting spatiotemporal patterns from this dataset. My question is does SVR canensure spatiotemporal ...
14
votes
1answer
31k views

Heatmap on a map in Python

Mode Analytics has a nice heatmap feature (https://community.modeanalytics.com/gallery/geographic-heat-map/). But it's not conducive to comparing maps (only one per report). What they do allow is ...
10
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3answers
15k views

Can GPS coordinates (latitude and longitude) be used as features in a linear model?

I have data sets that contain, among many features, GPS coordinates (latitude and longitude). I'd like to use these data sets to explore problems such as: (1) computing ETA to drive between start and ...