Questions related to Geographical Analysis
I am interested in seeing whether the focus of GIScience studies have shifted over the last few decades from being more local or regional in scale towards global. My assumption is that due to the availability and accessibility of global datasets (e.g. user generated data) and technical advancements that make it possible to analyse these datasets triggered a shift in geographic focus.
In a recent review of OpenStreetMap related publications, we found that 6.5% of analyzed publications had a global focus  . I was wondering if there are similar review papers that are broader in scope.
Hi everyone. I'm trying to specify the fruit tree types via ortophoto imageries at 25 cm resolution. In normal supervised classificstion techinques, I can seperate bare lands and trees. However, I need to specify fruit trees as a parcel which have same pattern. I have added a sample imagery. Please if it is posssible, suggest me any analysis, method or calculation in any GIS or RS software. Thank you for your intereset.
Is there any research out there which someone tried to identify potential similarities of the tourist behaviour by a country in terms of sustainability?
For example, the Russians respect this but not this, the scandinavians mostly do this when in holiday and goes on...
I did a quick search in Google scholar but researchers doesnt seem to divide the tourists for simplier subjects than this. I understand that some countries are too big to have similarities but am asking if this idea have ever implement in some way.
Should this lead to a potential research about sustainability educations in each country?
As a part of my PhD, I conducted a study to assess health inequities in Amaravati capital region of Andhra Pradesh using two composite indices made from health determinants indicators and health outcome indicators.
Health outcome indicators data was available at the sub-district level. The data were interpolated to create a heatmap of the health outcome index. Whereas health determinants data was available at the village level. Thus I created a choropleth map using the health determinants index.
Later interpolated health outcome index map was overlayered on the choropleth map of health outcomes. It highlighted some interesting findings, i.e. areas of concern (Villages). The colour combinations created because of overlaying two layers revealed the areas with poor health outcomes and poor health determinants and areas with poor health outcomes with better determinants.
Kindly check these files and give your valuable opinions. Whether this type of analysis can be used to highlight the areas with health inequities or not? Please comment on the method used and the results obtained in the overlayered map.
I attempt to simulate how the greenhouse gases emission from soil surface under the set of determined crops (e.g. wheat, apples, citrus, sugarcane) depends on geographical position (it is the first step of simulation). The second step must be the analysis of changes because of climate change or irrigation.
Next, I'd like to compare GHG emission intensity with potential yield of crops for various countries of the World. The last is available on the web-site of Global Agro-Ecological Zones v3.0.
Can anyone advice, how I can get the data of GHG emission only from soil surface (but not because of fuel combustion by soil-tilling machines) for the major crops and for different country of the world.
I prefer the description of calcution method rather than ready for use online tools. Online tools often give uncertainties, which I can't trace under the following analysis of results.
When a population is small, the effect of genetic drift increases, leading to less allele fixation and/or random fixation. This, in essence, contributes to increased homozygosity, which affects species fitness negatively. Plant production can be affected by less efficient selection, which in small populations causes the accumulation of deleterious mutations. Since indivividuals are more likely to be linked to small groups, they are more likely to be inbred. Due to mutation accumulation, decreased genetic diversity, and increased inbreeding, a reduction in fitness may occur in small plant populations. The evolutionary ability and the capacity of a species to adapt to a changing environment, such as climate change, are diminished over time. Global warming, can lead to population fragmentation especially when coupled with mountains, reducing movement from one habitat to another
In forest areas, fragmantion can be claculated geographically and annual changes can be extracted. the situatin is differint in Scattered distribution of small herbs grow in mountain ecosystem, it is so difficult the calculate the fragmentation trend geographically (it’s not savanna or high covered forest that can calculate the yearly geographical changes), is there any method to calculate the fragmentation changes in population of such small herbs geographically?
Aerial Laser Scanning Data is being more and more widely used across all Europe. Recently Great Britain decided to provide free access to aerial scanning data (starting on September 1st. 2016).
I know that Netherlands also provide free access to their laser scanning data (AHN 2 database of more than 600 billion x,y,z measured points)
I have also learned that Slovenia has released their LIDAR data as well, and also heard that North-Rhine Westfalia decided recently to open access to LIDAR data of their territory.
Are there any other EU States, which also decided to open free of charge access for their LIDAR datasets ?
I would like to calculate the overlap between the distributions of two sets of data (predator & prey). The prey set has got about 250 species, the predator set approximately 5000. For each species I have a shape file in .shp format. Has anyone got any suggestions how to calculate the overlap between the pairs?
In the past I've used the function 'pairwiseRangemaps' of the fuzzySim package, but it calculates the overlap between EACH pair (so > 27 million comparisons for a 5250 x 5250 matrix), making it impossible to run on any normal computer (even splitting the data set in dozens of smaller files and taking out the upper triangle would take weeks or months). I'm not interested in the overlap between prey species or between predator species, just between each prey and each predator.
Has anyone got a suggestion how to calculate this in R? I'm thinking of two vectors (one prey, one predator) and then calculating the overlap between just these.
I am interested in accounting for spatial dependency using spatial lag and spatial non stationarity using GWR in the same regression model. I am however wondering if there is an R package or software that can do this model (GWR-SL model).
If not, is it correct to do the spatial lag model and use the regression equation to estimate the value for each observation and include it as additional variable in the GWR analysis?
I am currently a master student in Nevşehir Hacı Bektaş Veli University, Department of Geography, studying Physical Geography. My main areas of expertise are; İn additıon to geographical analysis, plant geography, data mining, map reduce and hadoop systems, land planning, plant taxonomy, I have been working on social media analytics and social media applications and analysis, social media and geography education in scientific and technical terms. But my main focus is on "Data Mining and Plant Geography modeling". I have a technical research article on this topic in my Research gate research account as full text. Study name "Creatıon of Plant Geography Databases Wıth The Map Reduce Modelıng ın The Clusterıng of the Large Geographıcal Data Sets". This study my Map Reduce and Hadoop systems and algorithms addition to data mining, GIS, plant geography research methods - techniques and various international plant databases, taking advantage of biological databases in Turkey and vegetatıon carried out ın the world, plant geography and so on. I tried to develop a new database model with this latest work that will contribute to the fields. In conclusion, I would especially like to listen and take advantage of the ideas and opinions of my colleagues and teachers working on data mining and geography, plant geography or vegetation, especially among geographers. Thanks to everyone who contributed in advance. Sincereley.
Literature has been an object of study, a thematic context for research, a perspective through which the world is perceived, a methodological tool, and more. This relatively understudied field of geographic research, often titled “literary geography,” includes several overlapping perspectives following the main epistemological and theoretical turns in the fields of human and cultural geographies. In the early years, literature was often used to add aesthetic nuances to geographic descriptions or, slightly paradoxically, to function as a database for separating fact from fiction. Subsequently, before the 1960's and the rising interest in regionalism, literary geography was not actually geographic analysis of literature but rather a helping hand in descriptive geographic portrayals.
Quantitative revolution is among the enemies which ruined the field of literary geography and formed a separate field i.e quantitative geography.
Suggestions will be highly appreciated.
I have list of ~3000 geographical locations from various parts of India. I want to find out their Latitude and Longitude co-ordinates. I want to know if there is any tool / software that will together find out the co-ordinate and put the location on the map.
I have been trying to classify my images using fuzzy classification but the classification does not come out quite right especially if I increase the number of training area. any ideas on how to improve this?
I need to calculate the area of landusetypes in 100m around various sampling point. For this i have two shp: Landuse file and sampling point file. I made a buffer with 100m diameter arround each point. My problem is, the buffers around the points are overlapping each over in some places. I tried to intersect/clip the layer (e.g. landuse) with the layer "buffer", but the many overlapping parts are combine in one area, only counted once. This overestimate area for some small part of intersection. My purpose is to have each intersection area individually. Is there any tool in qgis which might help me? Or is there any other way to get this output? Thanks for your help.
Please find attached how it looks like: Yellow is landuse data and circles are buffer arround sampling points(red dot)
Geographic profiling is a tool used in criminology to identify an offender's residences by using the locations of the linked crimes. This is a tool used by police forces and investigative agencies around the world.
Recent studies in a series of papers made by Dr Steven Le Comber from Queen Mary’s School of Biological and Chemical Sciences, has shown that Geographic profiling can be used as an important tool in ecology. An example is to predict the the invasiveness of species and the spread of its disease.
How can this tool be utilized and be used in creating a major breakthrough in the field of ecology? What are its effects on the work of ecologists?
First of all, thanks for this wonderful online tool!
I'm just wondering how are the geographic distribution established for each species?
I'm presently checking the validity of some fish species that are supposed to be present in La Réunion Island, SW Indian Ocean, i.e. species referenced in the French Taxonomical Reference Tool, TAXREF v10.0 (Gargominy et al., 2016) but not in the checklist established by Fricke et al. (2009).
I do not have problems when La Réunion of Mascarene Islands are cited in the "Distribution" field (or when fish species in TAXREF v10.0 are obvious errors, i.e. fish species restricted to the eastern Pacific Ocean!). But I do not know what to decide when the distribution field indicates for ex. "Red Sea, Indo-West Pacific: East Africa, Seychelles and Persian Gulf east to Philippines and New Guinea, north to southern Taiwan".
Thank in advance for your answer that will surely help users who encounter the same problem.
Hello,everyone!I have a question about GWR?How can I use GWR with raster data,for example how can I build the expression in raster calculator ? Looking for you reply!Thank you so much!
I have a forest cover image having 5 land cover classes (very dense forest, mod. dense forest, open forest, scrub and non-forest) and a road shapefile with five types of roads. I'm thinking of creating a new image containing only two classes (forest and non-forest) and calculating fragmentation index (km/sq.km)(which is basically road density) per 10 km cell. But how do I calculate the index separately for each class?
Thank you for your time. Please discuss the optimizing parameters when you analyze the catchment area of the MRT station in (tropical) cities, include:
- direction and entrance of the stations.
- landscape design
- passenger behavior
Hi everyone, I have a point data set with 197 different coordinates. I am selecting 25% to be used for training. When I run maxent with certain environmental layers, it is only using 8 presence records used for training, 2 for testing. Any ideas why this is?
When I geocode large files in ArcGIS 10.3, I receive the following error, “There was an error trying to process this table.” In researching this issue, it says that one cause may be because the file is corrupt. However, this error goes away when I just cut down the number of cases I’m geocoding. Is there an easier fix for this issue?
I am looking for training and test date for classification of geographical points defined by longitude and latitude pairs. URLs to pertinent datasets most welcome. The data has to be classified though.
I have polygons shape file and want to calculate the exact maximum length of all polygons together. To calculate the length of polygons individually is a lengthy process.
I know that I need a projection that maintin the balance for the areas. However, I was wondering, if there is one particular projection that is more comonly used for this matter.
I am PhD student at University of Pretoria. Could you please assist me with tutorials for analyzing LULC changes for my study area using ArcGIS? I do not have basic knowledge for GIS and Remote Sensing. Please email the tutorials to firstname.lastname@example.org
I am writing to overcome a problem that I am facing while using data. I am willing to use the optimal fingerprinting method and the problem pops up when I want to use the downscaled historical data of CORDEX as I want to use the historical simulations of CMIP5 including ALL, NAT and GHG forcing but as I have noticed the only forcing of historical that has been downscaled is ALL . Would you mind telling me if other forcings of historical (NAT, GHG) and control run data are to be used as they are (not downscaled), and if I can simultaneously use downscaled historical ALL (CORDEX) with historical (NAT, GHG) of CMIP5 which have not been downscaled? If the case is that these should all be downscaled to be used, would you please lead me to the right track of how to downscale them to be used with historical ALL (CORDEX).
RAN, INEGI or other data representing distribution of private property parcels and federal property (not protected areas) in SE Mexico.
Can anyone tell me who first used the landscape metrics or spatial metrics to analyze the urban spatial pattern or configuration?
If possible, please provide a relational reference.
I am trying to delineate agriculture tile drainage in Midwest. I wonder if anyone has come across with GIS and sub-surface remote sensing techniques to detect tiles/objects buried in shallow depth of soil. Does anyone have any suggestions as to what type of remote sensing can be used to detect subsurface features? I can think of GPR (ground penetrating radar). Any other suggestions would be appreciated.
Thanks in advance !
My question looks simple. What is the exact meaning of DEM resolution and relationship between it and the real pixel size of a map and topographic map scale?
For example when a DEM is derived from a contour layer with 10 m intervals so what is that resolution?
Totally, are there any relation?
I have downloaded some mod13A3（month NDVI 1k). Owing to the large data amount, I want to mosaic these images by using MRT.
I have learnt how to batch mosaic images with equal interval like mod 13A1 (16 days), but there is a limit, for there is one sentence like "set /a DAY= %DAY% + 16" in the batched code.
Does anyone know how to deal with this question?
I want shorelines data (lat&long) and i can't find it for all of world , for Mesh construction in sms (http://www.aquaveo.com/software/sms-surface-water-modeling-system-introduction) , i have it for persiangulf ,, for us i can download it from noaa website (http://www.ngs.noaa.gov/NSDE/) but for elsewhere i don't know !!
Overland and channel flow routing is controlled by weather (rainfall volume, intensity, and duration) and land surface (spatial scale, slope, landuse, and soil) conditions. Different combinations of these conditions would result in different flow velocity and require different time steps in nature and in the model. How can I determine the right time step at different geographic units using available climate and spatial information and integrate them into one system?
In aprticular I am interested in allotmetric equations using vegetation cover, precipitation, etc.
According to my perception, toposheet can be used for knowing land profile via contour, delineating drainage lines, possibility of contour bunding, doing morphometric analysis of the area.
If we want to generate DEM (Digital Elevation Model) toposheet is required,
If above answers are wrong please correct me, please give your expertise comment about above question
When rocks are handled for sampling, the magnetic property may get affected. Since rocks are more rigid, how can you sample it without affecting its magnetic property?
The calculation of stream power / unit stream power have to challenge the following problems :
- Estimation of bankfull decharge
- Estimation of channel slope
How to estimate or approximate them from old maps in order to propose stream power change ?
The water quality model requires input of a bathymetry file of the form (.npt). This can be developed from a digital elevation model (DEM).
Is it effective to use results of measuring length of a statistical self-similar fractals suggested by L.F. Richardson and B. Mandelbrot (L(G)=M*G1-D )for measuring geographical boundaries
I want to make geographic transformation of WRF-ARW results to lat-lon projection like with UPP tool of WRF-NMM. I search for linux scripts or tools similar to UPP.
Sometimes, I want to use a map from Google Maps or a similar website, but it may contain many names that I do not need or may not contain some names required. Also, the map size (especially in Google Maps) may be unsuitable. I need a software that helps me draw the map and edit it (add the pace names required along with the suitable size). Many online tools were tried but the result is not that level I desire.
My district contains water towers (land with elevation above 1400m, a.s.l) and arable lands suitable for crop production (land of 1000 to 1400m a.s.l). Arable lands have easily erodible volcanic soils; therefore arable lands with steep slopes (30-60%) require terraces to be farmed and moderately steep slopes (15-30%) require contour farming. Given the district area DEM and landsat satellite image: (a) I want to create a map that shows Arumeru Rivers, water sheds and water sources.
If I tell you that I used 48 Landsat scenes in a study, what would you think I'm referring to: 48 different WRS2 Path-Row combinations, 48 images of the same Path-Row covering several years, or maybe 6 different Path-Rows with 8 acquisition dates each?
Although officially 'scene' refers to the individual data frame into which the satellite continuous data streaming is segmented, and thus it applies to the image data, I think we would be better served if 'scene' was reserved to refer to the area of the earth imaged in that path and row. That is, it would be good if there was a consensus that 'scene' is a synonym for 'tile' or 'map sheet' in the context of Landsat, so that folks know unambiguously what I'm referring to when I say that I used 48 Landsat scenes in a study.
What do you think?
I have implemented an algorithm which integrates two geographical datasets. Each record of both datasets must define its geographical coordinates (latitude and longitude) and a label (e.g. the name of the record). I would like to compare my algorithm with existing algorithms in literature.
Can anyone suggest any algorithm which integrates two geographical datasets? Thanks in advance!
If we interpret the landslide points based on aerial images, when we want to get landslide susceptibility mapping, in case we extract non-landslide as training samples, how could we extract non-landslides points, because the landslide points not only one landslide?
Raster calculator seems not to be a solution?
I'm searching for map sources that will provide me with reliable terrain type data for the given GIS location: Longitude 121.213 and Latitude 32.2343, terrain type is 'Forest' or 'Urban' or 'Water'.
I am currently looking at some ways to process sat/aerial imagery from Google Maps to create this type of data, but this approach is very unreliable since colouring/saturation/hue/contrast of images received from Google Maps is not constant. Very often, within same city, several different image qualities & colour settings will appear, some city areas will appear overall brownish, some greenish (as if white-balance was not set correctly when pictures were taken), and some will appear with natural colours. Creating data from these images often results in wrong terrain type detected.
So what I am looking for is map source that can give this type of information with acceptable reliability (I would consider 65% as acceptable reliability). Precision can be for wider areas, like 5x5 kilometers is just fine.
Can anyone help, give me advice or share some useful links?