Article révisé par les pairs
| Résumé : | This paper describes a scripting cartographic techniques that automatically generate maps from open source spatial data using syntax of General Mapping Tools (GMT) and R. A case study present mapping East Africa with a focus on Malawi. In this study, two different approaches of scripting cartography using R programming language and GMT were studied for geophysical analysis aimed to visualize a series of eight new maps in Malawi: topography based on the GEBCO data, seismicity, geomorphometric modeling based on SRTM-90 m (slope, aspect, hillshade and elevation) and geophysical fields: geoid based on EGM-2008 and free-air Faye's gravity based on satellite derived gravity data from CryoSat-2 and Jason-1. In contrast to previous maps of Malawi, a scripting approach was introduced as a console-based cartographic mapping developed for plotting a series of thematic maps based on the high-resolution data. The maps demonstrate correlations between the topography and tectonic faults (Malawi Rift Zone) and earthquakes in the Malawi Lake and extent of landforms. The results demonstrate strong correspondence between the topography and geophysical fields (geoid and gravity): negative values of geoid (-15 to -20) are notable over the Malawi (Nyasa) Lake which corresponds with local topographic depressions. Free-air gravity fields reach the lowest values (-50 to -100) over the Malawi Lake. Local heights in gravity are compared with topographic mountain ranges in the NW and SW of the country on the borders with Zambia and Mozambique. The location of earthquakes vary with the majority located in the north. The geomorphological landforms demonstrate variability in slope steepness and aspect orientation shown on histogram. The techniques of scripts can be used to automatically map spatial data using raster datasets for geophysical visualization, and this paper demonstrated this through a variety of map from the presented thematic series of geophysical maps of Malawi. Full scripts used for mapping are available on the author's public GitHub repository with provided link to her open access codes. |
| Vizualizacija ili modeliranje kartografskih podataka je presudno za geološko mapiranje u seizmički aktivnom Malaviju, na jugoistoku Afrike. IRIS U ovoj studiji proučavana su dva različita pristupa skriptovanju kartografije korišćenjem programskog jezika R i Generic Mapping Tools (GMT) kako bi se vizualizovala serija od osam novih karata u Malaviju: topografija na osnovu podataka GEBCO, seizmičnost zasnovana na katalogu IRIS za 1972-2021), geomorfometrijsko modeliranje zasnovano na SRTM-90 m (nagib, aspekt, padina i nadmorska visina) i geofizička polja: geoid zasnovan na EGM- 2008 i Faie-ova gravitaciona baza slobodnog vazduha na osnovu satelitskih podataka izvedenih gravitacionih podataka iz CryoSat-2 i Jason-1. Za razliku od prethodnih mapa Malavija, pristup skriptiranju predstavljen je kao kartografsko mapiranje zasnovano na konzoli razvijeno za crtanje niza tematskih mapa na osnovu podataka visoke rezolucije. Mape prikazuju odnose između visina i tektonskih rasjeda (zona Rift Malavi), distribuciju seizmičkih događaja i vulkana na severu jezera Malavi i obim reljefa. Rezultati pokazuju snažnu korelaciju između kota i geofizičkih polja (geoid i gravitacija): negativne vrednosti geoida (-15 do -20) primetne su nad jezerom Malavi (Njasa) koje odgovara lokalnim topografskim udubljenjima. Gravitaciona polja slobodnog vazduha dostižu najniže vrednosti (-50 do - 100) iznad jezera Malavi. Lokalne visine gravitacije se upoređuju sa topografskim planinskim lancima na SZ i JZ zemlje na granicama sa Zambijom i Mozambikom. Raspodela seizmičkih podataka pokazuje varijabilnost sa izrazitim porastom podataka na severu zemlje. Geomorfološki oblici reljefa pokazuju varijabilnost u strmini kosine i orijentaciji aspekata prikazanih na histogramu. Rad doprinosi regionalnim geofizičkim studijama Malavija i predstavlja osam novih karata. |
