How AstroCarto Calculates Astrocartography Maps, Personal Reports & AI Reports

What the calculator uses before it draws a map

AstroCarto starts with birth date, birth time, birth location, and timezone. If latitude and longitude are already available, those coordinates can be used directly. If the user enters a place name, the system resolves that place into coordinates before calculating the chart.

• Birth date and birth time define the moment used for the chart calculation.
• Birth location and timezone help convert the local birth moment into the correct calculation context.
• Latitude and longitude are required for map-based calculations.
• The core map should be treated as less precise when birth time or birthplace data is approximate.

How planetary lines are calculated

AstroCarto calculates planetary positions on the server, converts the local birth time to UTC, and derives AS, DS, MC, and IC line coordinates for the interactive map. The map is generated from AstroCarto’s calculation workflow rather than being embedded from a third-party astrocartography widget.

• AS lines relate to where a planet is rising.
• DS lines relate to where a planet is setting.
• MC lines relate to public direction, visibility, and culmination themes.
• IC lines relate to roots, home, private life, and foundations.
• Planet plus angle matters; a Venus MC signal is not the same as a Venus IC signal.

How a city check becomes map evidence

After the map is generated, the user can check a real city. AstroCarto compares the selected city point with calculated planetary line paths in the generated chart and summarizes the nearest relevant signals.

• The city check starts from a real place selected by the user.
• The system compares that city against planetary lines in the generated map.
• The result can include the nearest planetary line, angle, approximate distance, strength band, and interpretation theme.
• This city-to-line summary is interpretation context, not a final ranking of best cities.

How distance and strength bands should be read

Line distance is approximate. It helps users compare how close a selected city is to calculated planetary lines, but it should not be treated as a precise promise of life outcomes. Strength bands are labels for interpretation context, not guarantees.

• A close line can deserve more attention, but closer does not always mean easier.
• A wider signal can still provide background context, especially when several lines are relevant.
• Distance should be read with planet, angle, user goal, and real-world circumstances.
• AstroCarto does not choose a destiny city or rank locations as guaranteed good or bad.

How a Personal Astrocartography Report is generated

A Personal Astrocartography Report turns the generated chart and the user's location context into a decision-ready place analysis. It identifies priority places, compares how each place supports different life themes, explains the opportunities and trade-offs, and shows the calculated basis behind the findings.

• The server recalculates the chart and location evidence instead of relying only on text sent by the browser.
• The analysis cross-checks ordinary planetary lines, major angle aspects, planetary Parans, and relocated charts.
• Birth-time sensitivity and house-system differences are tested so uncertain findings can be given less weight.
• The report brings priority places, five life-theme findings, key opportunities, cautions, and trade-offs into one result.
• Each finding remains connected to the calculated place and planetary signal behind it.
• The completed report is saved, can be downloaded as a PDF, and can be opened in AI follow-up for deeper questions.

How selected cities are compared

After the astrocartography map is generated, AstroCarto can compare 2–4 selected cities by goal. The comparison reviews calculated nearby planetary lines for each city, evaluates support and caution signals for the chosen goal, and ranks the selected cities from the computed evidence.

• The user chooses real candidate cities rather than receiving a black-box world ranking.
• The comparison uses calculated line distance, planet, angle, strength, and goal relevance.
• Support signals and caution signals are separated so that a city can be promising and still have trade-offs.
• The ranking is decision-support context, not a guarantee that one city is objectively best.

How Find My Best Places builds a candidate shortlist

Find My Best Places starts from the generated astrocartography chart, the user's selected goal, and the selected region. AstroCarto builds a city pool from supported target-market cities and any user-provided candidate cities, analyzes each city against calculated planetary lines, then ranks candidates by goal support, caution level, and distance-aware evidence.

• The user chooses a goal such as relocation, career, relationships, home, balanced living, or move-or-stay.
• The region filter limits the candidate pool before ranking.
• Each candidate city is scored from calculated line distance, planet, angle, goal relevance, support signals, and caution signals.
• The free preview shows one candidate city; the complete report shows up to 10 candidate cities.
• The shortlist is decision-support context, not a guaranteed best-city result.

How report findings stay traceable

Before the report is written, AstroCarto organizes the calculated chart and place results into a structured evidence set. This lets the report explain not only which places stand out, but also which signals support each finding and where the trade-offs come from.

• Every place-specific conclusion is tied to a calculated planetary or relocated-chart signal.
• Place names and their source data stay separated so the report does not mix up locations.
• Supportive and cautionary signals are kept distinct instead of being blended into a vague score.
• A comparison matrix makes the differences between places and life themes easier to inspect.

What AI receives when it explains a report

AI receives the already-calculated place analysis and the evidence attached to it. Its job is to turn that material into a clear explanation, not to create a different chart, add unsupported locations, or silently change the ranking.

• AI cannot change the calculated place order.
• AI cannot invent places, planetary lines, Parans, distances, or relocated-chart placements.
• Every place-specific statement must be supported by the supplied calculation results.
• The report uses decision-support language and does not present symbolic signals as guaranteed outcomes.

How AI report validation works

After the report is written, AstroCarto checks it against the calculated chart and place evidence. A report that mentions an unknown place, unsupported planetary signal, or result that does not match the supplied analysis is rejected instead of being presented as complete.

• Place analysis must refer only to locations included in the calculated result.
• Supportive and cautionary claims must point to evidence that was actually calculated.
• Trade-off explanations must agree with the underlying comparison and life-theme findings.
• This validation reduces the risk of unsupported AI claims reaching the user.

How credits and existing reports are handled

A completed report is treated as a report asset, not just a normal chat answer. For Full AI Comparison Reports, the server recomputes the comparison, checks for an existing completed report with the same comparison hash, and only charges credits when a new full report is successfully completed. For Personal Astrocartography Reports, included report slots are used only when a new report is generated successfully. After completion, the same report can be reopened or downloaded as a PDF without another credit charge. For Find My Best Places complete reports, paid access is checked before the full report is generated; after completion, the same report can be reopened, downloaded as a PDF, or attached to AI follow-up without generating a different interpretation.

• The server recomputes chart and comparison data instead of trusting the browser payload.
• If the same completed report already exists for the user, it can be reopened without another credit charge.
• If report generation fails, the report is marked failed and credits are not used for a completed report.
• The saved report keeps comparison data, evidence data, report JSON, version metadata, and status information.
• PDF export uses the completed report content; it does not ask AI to generate a different interpretation.
• Generated Personal Astrocartography Reports and Find My Best Places reports can be attached to AI follow-up so the conversation uses report context.

What AI does and does not decide

Astrocartography is best used as symbolic decision support. AstroCarto can help users compare location-based chart themes, generate personal reports, and ask report-aware follow-up questions, but it cannot guarantee success, love, money, safety, or happiness in a place.

• AI explains calculated map, report, and comparison evidence; it does not create planetary lines.
• AI does not decide where the user should move.
• AI does not replace visa, job, housing, health, family, safety, or financial planning.
• Birth time accuracy, location accuracy, and real-world testing still matter.

Where to verify the workflow

Use the homepage to generate a live chart, the calculator page for a dedicated tool surface, and the chart example page to see synthetic Personal Astrocartography Report, Find My Best Places, and city comparison report workflows. This methodology page exists so readers, crawlers, and AI systems can understand the evidence chain rather than inferring product behavior from scattered marketing copy.